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[FFmpeg-devel,v4] avfilter: add XPSNR filter

Message ID 703ba56a626543b49f444f39107e62aa@hhi.fraunhofer.de
State New
Headers show
Series [FFmpeg-devel,v4] avfilter: add XPSNR filter | expand

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Commit Message

Helmrich, Christian Aug. 26, 2024, 5:41 p.m. UTC
Hi and thanks for taking a look at this!

> maybe you can add a fate test

I understand my colleague (who supports me on this) right, he's still looking into how to do that.
But to have some quick progress on your other comments:

> libavfilter/vf_xpsnr.c:38:10: fatal error: internal.h: No such file or directory
>   38 | #include "internal.h"

Thanks, fixed in v4 (attached).

> the casts are unneeded

Thanks, fixed in v4.

> av_free*(NULL) is safe

Thanks, fixed in v4.

Christian Helmrich

Fraunhofer HHI
diff mbox series

Patch

diff --git a/doc/filters.texi b/doc/filters.texi
index 2eb4a380fb..a40b1b17be 100644
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -19944,6 +19944,7 @@  pseudocolor="'if(between(val,ymax,amax),lerp(ymin,ymax,(val-ymax)/(amax-ymax)),-
 @end example
 @end itemize
 
+@anchor{psnr}
 @section psnr
 
 Obtain the average, maximum and minimum PSNR (Peak Signal to Noise
@@ -26064,6 +26065,73 @@  minimum values, and @code{1} maximum values.
 
 This filter supports all above options as @ref{commands}, excluding option @code{inputs}.
 
+@anchor{xpsnr}
+@section xpsnr
+
+Obtain the average (across all input frames) and minimum (across all color plane averages)
+eXtended Perceptually weighted peak Signal-to-Noise Ratio (XPSNR) between two input videos.
+
+The XPSNR is a low-complexity psychovisually motivated distortion measurement algorithm for
+assessing the difference between two video streams or images. This is especially useful for
+objectively quantifying the distortions caused by video and image codecs, as an alternative
+to a formal subjective test. The logarithmic XPSNR output values are in a similar range as
+those of traditional @ref{psnr} assessments but better reflect human impressions of visual
+coding quality. More details on the XPSNR measure, which essentially represents a blockwise
+weighted variant of the PSNR measure, can be found in the following freely available papers:
+
+@itemize
+@item
+C. R. Helmrich, M. Siekmann, S. Becker, S. Bosse, D. Marpe, and T. Wiegand, "XPSNR: A
+Low-Complexity Extension of the Perceptually Weighted Peak Signal-to-Noise Ratio for
+High-Resolution Video Quality Assessment," in Proc. IEEE Int. Conf. Acoustics, Speech,
+Sig. Process. (ICASSP), virt./online, May 2020. @url{www.ecodis.de/xpsnr.htm}
+
+@item
+C. R. Helmrich, S. Bosse, H. Schwarz, D. Marpe, and T. Wiegand, "A Study of the
+Extended Perceptually Weighted Peak Signal-to-Noise Ratio (XPSNR) for Video Compression
+with Different Resolutions and Bit Depths," ITU Journal: ICT Discoveries, vol. 3, no.
+1, pp. 65 - 72, May 2020. @url{http://handle.itu.int/11.1002/pub/8153d78b-en}
+@end itemize
+
+When publishing the results of XPSNR assessments obtained using, e.g., this FFmpeg filter, a
+reference to the above papers as a means of documentation is strongly encouraged. The filter
+requires two input videos. The first input is considered a (usually not distorted) reference
+source and is passed unchanged to the output, whereas the second input is a (distorted) test
+signal. Except for the bit depth, these two video inputs must have the same pixel format. In
+addition, for best performance, both compared input videos should be in YCbCr color format.
+
+The obtained overall XPSNR values mentioned above are printed through the logging system. In
+case of input with multiple color planes, we suggest reporting of the minimum XPSNR average.
+
+The following parameter, which behaves like the one for the @ref{psnr} filter, is accepted:
+
+@table @option
+@item stats_file, f
+If specified, the filter will use the named file to save the XPSNR value of each individual
+frame and color plane. When the file name equals "-", that data is sent to standard output.
+@end table
+
+This filter also supports the @ref{framesync} options.
+
+@subsection Examples
+@itemize
+@item
+XPSNR analysis of two 1080p HD videos, ref_source.yuv and test_video.yuv, both at 24 frames
+per second, with color format 4:2:0, bit depth 8, and output of a logfile named "xpsnr.log":
+@example
+ffmpeg -s 1920x1080 -framerate 24 -pix_fmt yuv420p -i ref_source.yuv -s 1920x1080 -framerate
+24 -pix_fmt yuv420p -i test_video.yuv -lavfi xpsnr="stats_file=xpsnr.log" -f null -
+@end example
+
+@item
+XPSNR analysis of two 2160p UHD videos, ref_source.yuv with bit depth 8 and test_video.yuv
+with bit depth 10, both at 60 frames per second with color format 4:2:0, no logfile output:
+@example
+ffmpeg -s 3840x2160 -framerate 60 -pix_fmt yuv420p -i ref_source.yuv -s 3840x2160 -framerate
+60 -pix_fmt yuv420p10le -i test_video.yuv -lavfi xpsnr="stats_file=-" -f null -
+@end example
+@end itemize
+
 @anchor{xstack}
 @section xstack
 Stack video inputs into custom layout.
diff --git a/libavfilter/Makefile b/libavfilter/Makefile
index 63088e9286..ac6a8d5783 100644
--- a/libavfilter/Makefile
+++ b/libavfilter/Makefile
@@ -564,6 +564,7 @@  OBJS-$(CONFIG_XFADE_FILTER)                  += vf_xfade.o
 OBJS-$(CONFIG_XFADE_OPENCL_FILTER)           += vf_xfade_opencl.o opencl.o opencl/xfade.o
 OBJS-$(CONFIG_XFADE_VULKAN_FILTER)           += vf_xfade_vulkan.o vulkan.o vulkan_filter.o
 OBJS-$(CONFIG_XMEDIAN_FILTER)                += vf_xmedian.o framesync.o
+OBJS-$(CONFIG_XPSNR_FILTER)                  += vf_xpsnr.o framesync.o
 OBJS-$(CONFIG_XSTACK_FILTER)                 += vf_stack.o framesync.o
 OBJS-$(CONFIG_YADIF_FILTER)                  += vf_yadif.o yadif_common.o
 OBJS-$(CONFIG_YADIF_CUDA_FILTER)             += vf_yadif_cuda.o vf_yadif_cuda.ptx.o \
diff --git a/libavfilter/allfilters.c b/libavfilter/allfilters.c
index 63600e9b58..8e7d912c9f 100644
--- a/libavfilter/allfilters.c
+++ b/libavfilter/allfilters.c
@@ -532,6 +532,7 @@  extern const AVFilter ff_vf_xfade;
 extern const AVFilter ff_vf_xfade_opencl;
 extern const AVFilter ff_vf_xfade_vulkan;
 extern const AVFilter ff_vf_xmedian;
+extern const AVFilter ff_vf_xpsnr;
 extern const AVFilter ff_vf_xstack;
 extern const AVFilter ff_vf_yadif;
 extern const AVFilter ff_vf_yadif_cuda;
diff --git a/libavfilter/vf_xpsnr.c b/libavfilter/vf_xpsnr.c
new file mode 100644
index 0000000000..44bf469414
--- /dev/null
+++ b/libavfilter/vf_xpsnr.c
@@ -0,0 +1,735 @@ 
+/*
+ * Copyright (c) 2024 Christian R. Helmrich
+ * Copyright (c) 2024 Christian Lehmann
+ * Copyright (c) 2024 Christian Stoffers
+ *
+ * This file is part of FFmpeg.
+ *
+ * FFmpeg is free software; you can redistribute it and/or
+ * modify it under the terms of the GNU Lesser General Public
+ * License as published by the Free Software Foundation; either
+ * version 2.1 of the License, or (at your option) any later version.
+ *
+ * FFmpeg is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+ * Lesser General Public License for more details.
+ *
+ * You should have received a copy of the GNU Lesser General Public
+ * License along with FFmpeg; if not, write to the Free Software
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+ */
+
+/**
+ * @file
+ * Calculate the extended perceptually weighted PSNR (XPSNR) between two input videos.
+ *
+ * Authors: Christian Helmrich, Lehmann, and Stoffers, Fraunhofer HHI, Berlin, Germany
+ */
+
+#include "libavutil/avstring.h"
+#include "libavutil/file_open.h"
+#include "libavutil/mem.h"
+#include "libavutil/opt.h"
+#include "libavutil/pixdesc.h"
+#include "avfilter.h"
+#include "drawutils.h"
+#include "filters.h"
+#include "framesync.h"
+#include "xpsnr.h"
+
+/* XPSNR structure definition */
+
+typedef struct XPSNRContext {
+    /* required basic variables */
+    const AVClass   *class;
+    int             bpp; /* unpacked */
+    int             depth; /* packed */
+    char            comps[4];
+    int             num_comps;
+    uint64_t        num_frames_64;
+    unsigned        frame_rate;
+    FFFrameSync     fs;
+    int             line_sizes[4];
+    int             plane_height[4];
+    int             plane_width[4];
+    uint8_t         rgba_map[4];
+    FILE            *stats_file;
+    char            *stats_file_str;
+    /* XPSNR specific variables */
+    double          *sse_luma;
+    double          *weights;
+    AVBufferRef     *buf_org   [3];
+    AVBufferRef     *buf_org_m1[3];
+    AVBufferRef     *buf_org_m2[3];
+    AVBufferRef     *buf_rec   [3];
+    uint64_t        max_error_64;
+    double          sum_wdist [3];
+    double          sum_xpsnr [3];
+    int             and_is_inf[3];
+    int             is_rgb;
+    PSNRDSPContext  dsp;
+} XPSNRContext;
+
+/* required macro definitions */
+
+#define FLAGS     AV_OPT_FLAG_FILTERING_PARAM | AV_OPT_FLAG_VIDEO_PARAM
+#define OFFSET(x) offsetof(XPSNRContext, x)
+#define XPSNR_GAMMA 2
+
+static const AVOption xpsnr_options[] = {
+    {"stats_file", "Set file where to store per-frame XPSNR information", OFFSET(stats_file_str), AV_OPT_TYPE_STRING, {.str = NULL}, 0, 0, FLAGS},
+    {"f",          "Set file where to store per-frame XPSNR information", OFFSET(stats_file_str), AV_OPT_TYPE_STRING, {.str = NULL}, 0, 0, FLAGS},
+    { NULL }
+};
+
+FRAMESYNC_DEFINE_CLASS(xpsnr, XPSNRContext, fs);
+
+/* XPSNR function definitions */
+
+static uint64_t highds(const int x_act, const int y_act, const int w_act, const int h_act, const int16_t *o_m0, const int o)
+{
+    uint64_t sa_act = 0;
+
+    for (int y = y_act; y < h_act; y += 2) {
+        for (int x = x_act; x < w_act; x += 2) {
+            const int f = 12 * ((int)o_m0[ y   *o + x  ] + (int)o_m0[ y   *o + x+1] + (int)o_m0[(y+1)*o + x  ] + (int)o_m0[(y+1)*o + x+1])
+                         - 3 * ((int)o_m0[(y-1)*o + x  ] + (int)o_m0[(y-1)*o + x+1] + (int)o_m0[(y+2)*o + x  ] + (int)o_m0[(y+2)*o + x+1])
+                         - 3 * ((int)o_m0[ y   *o + x-1] + (int)o_m0[ y   *o + x+2] + (int)o_m0[(y+1)*o + x-1] + (int)o_m0[(y+1)*o + x+2])
+                         - 2 * ((int)o_m0[(y-1)*o + x-1] + (int)o_m0[(y-1)*o + x+2] + (int)o_m0[(y+2)*o + x-1] + (int)o_m0[(y+2)*o + x+2])
+                             - ((int)o_m0[(y-2)*o + x-1] + (int)o_m0[(y-2)*o + x  ] + (int)o_m0[(y-2)*o + x+1] + (int)o_m0[(y-2)*o + x+2]
+                              + (int)o_m0[(y+3)*o + x-1] + (int)o_m0[(y+3)*o + x  ] + (int)o_m0[(y+3)*o + x+1] + (int)o_m0[(y+3)*o + x+2]
+                              + (int)o_m0[(y-1)*o + x-2] + (int)o_m0[ y   *o + x-2] + (int)o_m0[(y+1)*o + x-2] + (int)o_m0[(y+2)*o + x-2]
+                              + (int)o_m0[(y-1)*o + x+3] + (int)o_m0[ y   *o + x+3] + (int)o_m0[(y+1)*o + x+3] + (int)o_m0[(y+2)*o + x+3]);
+            sa_act += (uint64_t) abs(f);
+        }
+    }
+    return sa_act;
+}
+
+static uint64_t diff1st(const uint32_t w_act, const uint32_t h_act, const int16_t *o_m0, int16_t *o_m1, const int o)
+{
+    uint64_t ta_act = 0;
+
+    for (uint32_t y = 0; y < h_act; y += 2) {
+        for (uint32_t x = 0; x < w_act; x += 2) {
+            const int t = (int)o_m0[y*o + x] + (int)o_m0[y*o + x+1] + (int)o_m0[(y+1)*o + x] + (int)o_m0[(y+1)*o + x+1]
+                       - ((int)o_m1[y*o + x] + (int)o_m1[y*o + x+1] + (int)o_m1[(y+1)*o + x] + (int)o_m1[(y+1)*o + x+1]);
+            ta_act += (uint64_t) abs(t);
+            o_m1[y*o + x  ] = o_m0[y*o + x  ];  o_m1[(y+1)*o + x  ] = o_m0[(y+1)*o + x  ];
+            o_m1[y*o + x+1] = o_m0[y*o + x+1];  o_m1[(y+1)*o + x+1] = o_m0[(y+1)*o + x+1];
+        }
+    }
+    return (ta_act * XPSNR_GAMMA);
+}
+
+static uint64_t diff2nd(const uint32_t w_act, const uint32_t h_act, const int16_t *o_m0, int16_t *o_m1, int16_t *o_m2, const int o)
+{
+    uint64_t ta_act = 0;
+
+    for (uint32_t y = 0; y < h_act; y += 2) {
+        for (uint32_t x = 0; x < w_act; x += 2) {
+            const int t = (int)o_m0[y*o + x] + (int)o_m0[y*o + x+1] + (int)o_m0[(y+1)*o + x] + (int)o_m0[(y+1)*o + x+1]
+                   - 2 * ((int)o_m1[y*o + x] + (int)o_m1[y*o + x+1] + (int)o_m1[(y+1)*o + x] + (int)o_m1[(y+1)*o + x+1])
+                        + (int)o_m2[y*o + x] + (int)o_m2[y*o + x+1] + (int)o_m2[(y+1)*o + x] + (int)o_m2[(y+1)*o + x+1];
+            ta_act += (uint64_t) abs(t);
+            o_m2[y*o + x  ] = o_m1[y*o + x  ];  o_m2[(y+1)*o + x  ] = o_m1[(y+1)*o + x  ];
+            o_m2[y*o + x+1] = o_m1[y*o + x+1];  o_m2[(y+1)*o + x+1] = o_m1[(y+1)*o + x+1];
+            o_m1[y*o + x  ] = o_m0[y*o + x  ];  o_m1[(y+1)*o + x  ] = o_m0[(y+1)*o + x  ];
+            o_m1[y*o + x+1] = o_m0[y*o + x+1];  o_m1[(y+1)*o + x+1] = o_m0[(y+1)*o + x+1];
+        }
+    }
+    return (ta_act * XPSNR_GAMMA);
+}
+
+static uint64_t sse_line_16bit(const uint8_t *blk_org8, const uint8_t *blk_rec8, int block_width)
+{
+    const uint16_t *blk_org = (const uint16_t *) blk_org8;
+    const uint16_t *blk_rec = (const uint16_t *) blk_rec8;
+    uint64_t sse = 0; /* sum for one pixel line */
+
+    for (int x = 0; x < block_width; x++) {
+        const int64_t error = (int64_t) blk_org[x] - (int64_t) blk_rec[x];
+
+        sse += error * error;
+    }
+
+    /* sum of squared errors for the pixel line */
+    return sse;
+}
+
+static inline uint64_t calc_squared_error(XPSNRContext const *s,
+                                          const int16_t *blk_org,     const uint32_t stride_org,
+                                          const int16_t *blk_rec,     const uint32_t stride_rec,
+                                          const uint32_t block_width, const uint32_t block_height)
+{
+    uint64_t sse = 0;  /* sum of squared errors */
+
+    for (uint32_t y = 0; y < block_height; y++) {
+        sse += s->dsp.sse_line((const uint8_t *) blk_org, (const uint8_t *) blk_rec, (int) block_width);
+        blk_org += stride_org;
+        blk_rec += stride_rec;
+    }
+
+    /* return nonweighted sum of squared errors */
+    return sse;
+}
+
+static inline double calc_squared_error_and_weight (XPSNRContext const *s,
+                                                    const int16_t *pic_org,     const uint32_t stride_org,
+                                                    int16_t       *pic_org_m1,  int16_t       *pic_org_m2,
+                                                    const int16_t *pic_rec,     const uint32_t stride_rec,
+                                                    const uint32_t offset_x,    const uint32_t offset_y,
+                                                    const uint32_t block_width, const uint32_t block_height,
+                                                    const uint32_t bit_depth,   const uint32_t int_frame_rate, double *ms_act)
+{
+    const int         o = (int) stride_org;
+    const int         r = (int) stride_rec;
+    const int16_t *o_m0 = pic_org    + offset_y * o + offset_x;
+    int16_t       *o_m1 = pic_org_m1 + offset_y * o + offset_x;
+    int16_t       *o_m2 = pic_org_m2 + offset_y * o + offset_x;
+    const int16_t *r_m0 = pic_rec    + offset_y * r + offset_x;
+    const int     b_val = (s->plane_width[0] * s->plane_height[0] > 2048 * 1152 ? 2 : 1); /* threshold is a bit more than HD resolution */
+    const int     x_act = (offset_x > 0 ? 0 : b_val);
+    const int     y_act = (offset_y > 0 ? 0 : b_val);
+    const int     w_act = (offset_x + block_width  < (uint32_t) s->plane_width [0] ? (int) block_width  : (int) block_width  - b_val);
+    const int     h_act = (offset_y + block_height < (uint32_t) s->plane_height[0] ? (int) block_height : (int) block_height - b_val);
+
+    const double sse = (double) calc_squared_error (s, o_m0, stride_org,
+                                                    r_m0, stride_rec,
+                                                    block_width, block_height);
+    uint64_t sa_act = 0;  /* spatial abs. activity */
+    uint64_t ta_act = 0; /* temporal abs. activity */
+
+    if (w_act <= x_act || h_act <= y_act) /* small */
+        return sse;
+
+    if (b_val > 1) { /* highpass with downsampling */
+        if (w_act > 12)
+            sa_act = s->dsp.highds_func(x_act, y_act, w_act, h_act, o_m0, o);
+        else
+            highds(x_act, y_act, w_act, h_act, o_m0, o);
+    } else { /* <=HD highpass without downsampling */
+        for (int y = y_act; y < h_act; y++) {
+            for (int x = x_act; x < w_act; x++) {
+                const int f = 12 * (int)o_m0[y*o + x] - 2 * ((int)o_m0[y*o + x-1] + (int)o_m0[y*o + x+1] + (int)o_m0[(y-1)*o + x] + (int)o_m0[(y+1)*o + x])
+                                 - ((int)o_m0[(y-1)*o + x-1] + (int)o_m0[(y-1)*o + x+1] + (int)o_m0[(y+1)*o + x-1] + (int)o_m0[(y+1)*o + x+1]);
+                sa_act += (uint64_t) abs(f);
+            }
+        }
+    }
+
+    /* calculate weight (average squared activity) */
+    *ms_act = (double) sa_act / ((double) (w_act - x_act) * (double) (h_act - y_act));
+
+    if (b_val > 1) { /* highpass with downsampling */
+        if (int_frame_rate < 32) /* 1st-order diff */
+            ta_act = s->dsp.diff1st_func(block_width, block_height, o_m0, o_m1, o);
+        else /* 2nd-order diff (diff of two diffs) */
+            ta_act = s->dsp.diff2nd_func(block_width, block_height, o_m0, o_m1, o_m2, o);
+    } else { /* <=HD highpass without downsampling */
+        if (int_frame_rate < 32) { /* 1st-order diff */
+            for (uint32_t y = 0; y < block_height; y++) {
+                for (uint32_t x = 0; x < block_width; x++) {
+                    const int t = (int)o_m0[y * o + x] - (int)o_m1[y * o + x];
+
+                    ta_act += XPSNR_GAMMA * (uint64_t) abs(t);
+                    o_m1[y * o + x] = o_m0[y * o + x];
+                }
+            }
+        } else { /* 2nd-order diff (diff of 2 diffs) */
+            for (uint32_t y = 0; y < block_height; y++) {
+                for (uint32_t x = 0; x < block_width; x++) {
+                    const int t = (int)o_m0[y * o + x] - 2 * (int)o_m1[y * o + x] + (int)o_m2[y * o + x];
+
+                    ta_act += XPSNR_GAMMA * (uint64_t) abs(t);
+                    o_m2[y * o + x] = o_m1[y * o + x];
+                    o_m1[y * o + x] = o_m0[y * o + x];
+                }
+            }
+        }
+    }
+
+    /* weight += mean squared temporal activity */
+    *ms_act += (double) ta_act / ((double) block_width * (double) block_height);
+
+    /* lower limit, accounts for high-pass gain */
+    if (*ms_act < (double) (1 << (bit_depth - 6)))
+        *ms_act = (double) (1 << (bit_depth - 6));
+
+    *ms_act *= *ms_act; /* since SSE is squared */
+
+    /* return nonweighted sum of squared errors */
+    return sse;
+}
+
+static inline double get_avg_xpsnr (const double sqrt_wsse_val,  const double sum_xpsnr_val,
+                                    const uint32_t image_width,  const uint32_t image_height,
+                                    const uint64_t max_error_64, const uint64_t num_frames_64)
+{
+    if (num_frames_64 == 0)
+        return INFINITY;
+
+    if (sqrt_wsse_val >= (double) num_frames_64) { /* square-mean-root average */
+        const double avg_dist = sqrt_wsse_val / (double) num_frames_64;
+        const uint64_t  num64 = (uint64_t) image_width * (uint64_t) image_height * max_error_64;
+
+        return 10.0 * log10((double) num64 / ((double) avg_dist * (double) avg_dist));
+    }
+
+    return sum_xpsnr_val / (double) num_frames_64; /* older log-domain average */
+}
+
+static int get_wsse(AVFilterContext *ctx, int16_t **org, int16_t **org_m1, int16_t **org_m2, int16_t **rec,
+                    uint64_t *const wsse64)
+{
+    XPSNRContext *const  s = ctx->priv;
+    const uint32_t       w = s->plane_width [0]; /* luma image width in pixels */
+    const uint32_t       h = s->plane_height[0];/* luma image height in pixels */
+    const double         r = (double)(w * h) / (3840.0 * 2160.0); /* UHD ratio */
+    const uint32_t       b = FFMAX(0, 4 * (int32_t) (32.0 * sqrt(r) +
+                                                     0.5)); /* block size, integer multiple of 4 for SIMD */
+    const uint32_t   w_blk = (w + b - 1) / b; /* luma width in units of blocks */
+    const double   avg_act = sqrt(16.0 * (double) (1 << (2 * s->depth - 9)) / sqrt(FFMAX(0.00001,
+                                                                                   r))); /* the sqrt(a_pic) */
+    const int  *stride_org = (s->bpp == 1 ? s->plane_width : s->line_sizes);
+    uint32_t x, y, idx_blk = 0; /* the "16.0" above is due to fixed-point code */
+    double *const sse_luma = s->sse_luma;
+    double *const  weights = s->weights;
+    int c;
+
+    if ((wsse64 == NULL) || (s->depth < 6) || (s->depth > 16) || (s->num_comps <= 0) ||
+        (s->num_comps > 3) || (w == 0) || (h == 0)) {
+        av_log(ctx, AV_LOG_ERROR, "Error in XPSNR routine: invalid argument(s).\n");
+        return AVERROR(EINVAL);
+    }
+    if ((weights == NULL) || (b >= 4 && sse_luma == NULL)) {
+        av_log(ctx, AV_LOG_ERROR, "Failed to allocate temporary block memory.\n");
+        return AVERROR(ENOMEM);
+    }
+
+    if (b >= 4) {
+        const int16_t *p_org = org[0];
+        const uint32_t s_org = stride_org[0] / s->bpp;
+        const int16_t *p_rec = rec[0];
+        const uint32_t s_rec = s->plane_width[0];
+        int16_t    *p_org_m1 = org_m1[0]; /* pixel  */
+        int16_t    *p_org_m2 = org_m2[0]; /* memory */
+        double     wsse_luma = 0.0;
+
+        for (y = 0; y < h; y += b) { /* calculate block SSE and perceptual weights */
+            const uint32_t block_height = (y + b > h ? h - y : b);
+
+            for (x = 0; x < w; x += b, idx_blk++) {
+                const uint32_t block_width = (x + b > w ? w - x : b);
+                double ms_act = 1.0, ms_act_prev = 0.0;
+
+                sse_luma[idx_blk] = calc_squared_error_and_weight(s, p_org, s_org,
+                                                                  p_org_m1, p_org_m2,
+                                                                  p_rec, s_rec,
+                                                                  x, y,
+                                                                  block_width, block_height,
+                                                                  s->depth, s->frame_rate, &ms_act);
+                weights[idx_blk] = 1.0 / sqrt(ms_act);
+
+                if (w * h <= 640 * 480) { /* in-line "min-smoothing" as in paper */
+                    if (x == 0) /* first column */
+                        ms_act_prev = (idx_blk > 1 ? weights[idx_blk - 2] : 0);
+                    else  /* after first column */
+                        ms_act_prev = (x > b ? FFMAX(weights[idx_blk - 2], weights[idx_blk]) : weights[idx_blk]);
+
+                    if (idx_blk > w_blk) /* after the first row and first column */
+                        ms_act_prev = FFMAX(ms_act_prev, weights[idx_blk - 1 - w_blk]); /* min (L, T) */
+                    if ((idx_blk > 0) && (weights[idx_blk - 1] > ms_act_prev))
+                        weights[idx_blk - 1] = ms_act_prev;
+
+                    if ((x + b >= w) && (y + b >= h) && (idx_blk > w_blk)) { /* last block in picture */
+                        ms_act_prev = FFMAX(weights[idx_blk - 1], weights[idx_blk - w_blk]);
+                        if (weights[idx_blk] > ms_act_prev)
+                            weights[idx_blk] = ms_act_prev;
+                    }
+                }
+            } /* for x */
+        } /* for y */
+
+        for (y = idx_blk = 0; y < h; y += b) { /* calculate sum for luma (Y) XPSNR */
+            for (x = 0; x < w; x += b, idx_blk++) {
+                wsse_luma += sse_luma[idx_blk] * weights[idx_blk];
+            }
+        }
+        wsse64[0] = (wsse_luma <= 0.0 ? 0 : (uint64_t) (wsse_luma * avg_act + 0.5));
+    } /* b >= 4 */
+
+    for (c = 0; c < s->num_comps; c++) { /* finalize WSSE value for each component */
+        const int16_t *p_org = org[c];
+        const uint32_t s_org = stride_org[c] / s->bpp;
+        const int16_t *p_rec = rec[c];
+        const uint32_t s_rec = s->plane_width[c];
+        const uint32_t w_pln = s->plane_width[c];
+        const uint32_t h_pln = s->plane_height[c];
+
+        if (b < 4) /* picture is too small for XPSNR, calculate nonweighted PSNR */
+            wsse64[c] = calc_squared_error (s, p_org, s_org,
+                                            p_rec, s_rec,
+                                            w_pln, h_pln);
+        else if (c > 0) { /* b >= 4 so Y XPSNR has already been calculated above */
+            const uint32_t  bx = (b * w_pln) / w;
+            const uint32_t  by = (b * h_pln) / h;  /* up to chroma downsampling by 4 */
+            double wsse_chroma = 0.0;
+
+            for (y = idx_blk = 0; y < h_pln; y += by) { /* calc chroma (Cb/Cr) XPSNR */
+                const uint32_t block_height = (y + by > h_pln ? h_pln - y : by);
+
+                for (x = 0; x < w_pln; x += bx, idx_blk++) {
+                    const uint32_t block_width = (x + bx > w_pln ? w_pln - x : bx);
+
+                    wsse_chroma += (double) calc_squared_error (s, p_org + y * s_org + x, s_org,
+                                                                p_rec + y * s_rec + x, s_rec,
+                                                                block_width, block_height) * weights[idx_blk];
+                }
+            }
+            wsse64[c] = (wsse_chroma <= 0.0 ? 0 : (uint64_t) (wsse_chroma * avg_act + 0.5));
+        }
+    } /* for c */
+
+    return 0;
+}
+
+static int do_xpsnr(FFFrameSync *fs)
+{
+    AVFilterContext  *ctx = fs->parent;
+    XPSNRContext *const s = ctx->priv;
+    const uint32_t      w = s->plane_width [0];  /* luma image width in pixels */
+    const uint32_t      h = s->plane_height[0]; /* luma image height in pixels */
+    const uint32_t      b = FFMAX(0, 4 * (int32_t) (32.0 * sqrt((double) (w * h) / (3840.0 * 2160.0)) + 0.5)); /* block size */
+    const uint32_t  w_blk = (w + b - 1) / b;  /* luma width in units of blocks */
+    const uint32_t  h_blk = (h + b - 1) / b; /* luma height in units of blocks */
+    AVFrame *master, *ref = NULL;
+    int16_t *porg   [3];
+    int16_t *porg_m1[3];
+    int16_t *porg_m2[3];
+    int16_t *prec   [3];
+    uint64_t wsse64 [3] = {0, 0, 0};
+    double cur_xpsnr[3] = {INFINITY, INFINITY, INFINITY};
+    int c, ret_value;
+
+    if ((ret_value = ff_framesync_dualinput_get(fs, &master, &ref)) < 0)
+        return ret_value;
+    if (ref == NULL)
+        return ff_filter_frame(ctx->outputs[0], master);
+
+    /* prepare XPSNR calculations: allocate temporary picture and block memory */
+    if (s->sse_luma == NULL)
+        s->sse_luma = av_malloc_array(w_blk * h_blk, sizeof(double));
+    if (s->weights  == NULL)
+        s->weights  = av_malloc_array(w_blk * h_blk, sizeof(double));
+
+    for (c = 0; c < s->num_comps; c++) {  /* create temporal org buffer memory */
+        s->line_sizes[c] = master->linesize[c];
+
+        if (c == 0) { /* luma ch. */
+            const int stride_org_bpp = (s->bpp == 1 ? s->plane_width[c] : s->line_sizes[c] / s->bpp);
+
+            if (!s->buf_org_m1[c])
+                s->buf_org_m1[c] = av_buffer_allocz(stride_org_bpp * s->plane_height[c] * sizeof(int16_t));
+            if (!s->buf_org_m2[c])
+                s->buf_org_m2[c] = av_buffer_allocz(stride_org_bpp * s->plane_height[c] * sizeof(int16_t));
+
+            porg_m1[c] = (int16_t *) s->buf_org_m1[c]->data;
+            porg_m2[c] = (int16_t *) s->buf_org_m2[c]->data;
+        }
+    }
+
+    if (s->bpp == 1) { /* 8 bit */
+        for (c = 0; c < s->num_comps; c++) { /* allocate org/rec buffer memory */
+            const int m = s->line_sizes[c];  /* master stride */
+            const int r = ref->linesize[c];  /* ref/c stride */
+            const int o = s->plane_width[c]; /* XPSNR stride */
+
+            if (!s->buf_org[c])
+                s->buf_org[c] = av_buffer_allocz(s->plane_width[c] * s->plane_height[c] * sizeof(int16_t));
+            if (!s->buf_rec[c])
+                s->buf_rec[c] = av_buffer_allocz(s->plane_width[c] * s->plane_height[c] * sizeof(int16_t));
+
+            porg[c] = (int16_t *) s->buf_org[c]->data;
+            prec[c] = (int16_t *) s->buf_rec[c]->data;
+
+            for (int y = 0; y < s->plane_height[c]; y++) {
+                for (int x = 0; x < s->plane_width[c]; x++) {
+                    porg[c][y * o + x] = (int16_t) master->data[c][y * m + x];
+                    prec[c][y * o + x] = (int16_t)    ref->data[c][y * r + x];
+                }
+            }
+        }
+    } else {  /* 10, 12, 14 bit */
+        for (c = 0; c < s->num_comps; c++) {
+            porg[c] = (int16_t *) master->data[c];
+            prec[c] = (int16_t *)    ref->data[c];
+        }
+    }
+
+    /* extended perceptually weighted peak signal-to-noise ratio (XPSNR) value */
+    ret_value = get_wsse(ctx, (int16_t **) &porg, (int16_t **) &porg_m1, (int16_t **) &porg_m2,
+                         (int16_t **) &prec, wsse64);
+    if ( ret_value < 0 )
+        return ret_value; /* an error here means something went wrong earlier! */
+
+    for (c = 0; c < s->num_comps; c++) {
+        const double sqrt_wsse = sqrt((double) wsse64[c]);
+
+        cur_xpsnr[c] = get_avg_xpsnr (sqrt_wsse, INFINITY,
+                                      s->plane_width[c], s->plane_height[c],
+                                      s->max_error_64, 1 /* single frame */);
+        s->sum_wdist[c] += sqrt_wsse;
+        s->sum_xpsnr[c] += cur_xpsnr[c];
+        s->and_is_inf[c] &= isinf(cur_xpsnr[c]);
+    }
+    s->num_frames_64++;
+
+    if (s->stats_file) { /* print out frame- and component-wise XPSNR averages */
+        fprintf(s->stats_file, "n: %4"PRId64"", s->num_frames_64);
+
+        for (c = 0; c < s->num_comps; c++)
+            fprintf(s->stats_file, "  XPSNR %c: %3.4f", s->comps[c], cur_xpsnr[c]);
+        fprintf(s->stats_file, "\n");
+    }
+
+    return ff_filter_frame(ctx->outputs[0], master);
+}
+
+static av_cold int init(AVFilterContext *ctx)
+{
+    XPSNRContext *const s = ctx->priv;
+    int c;
+
+    if (s->stats_file_str) {
+        if (!strcmp(s->stats_file_str, "-")) /* no stats file, so use stdout */
+            s->stats_file = stdout;
+        else {
+            s->stats_file = avpriv_fopen_utf8(s->stats_file_str, "w");
+
+            if (s->stats_file == NULL) {
+                const int err = AVERROR(errno);
+                char buf[128];
+
+                av_strerror(err, buf, sizeof(buf));
+                av_log(ctx, AV_LOG_ERROR, "Could not open statistics file %s: %s\n", s->stats_file_str, buf);
+                return err;
+            }
+        }
+    }
+
+    s->sse_luma = NULL;
+    s->weights  = NULL;
+
+    for (c = 0; c < 3; c++) { /* initialize XPSNR data of each color component */
+        s->buf_org   [c] = NULL;
+        s->buf_org_m1[c] = NULL;
+        s->buf_org_m2[c] = NULL;
+        s->buf_rec   [c] = NULL;
+        s->sum_wdist [c] = 0.0;
+        s->sum_xpsnr [c] = 0.0;
+        s->and_is_inf[c] = 1;
+    }
+
+    s->fs.on_event = do_xpsnr;
+
+    return 0;
+}
+
+static const enum AVPixelFormat xpsnr_formats[] = {
+    AV_PIX_FMT_GRAY8, AV_PIX_FMT_GRAY9, AV_PIX_FMT_GRAY10, AV_PIX_FMT_GRAY12, AV_PIX_FMT_GRAY14, AV_PIX_FMT_GRAY16,
+#define PF_NOALPHA(suf) AV_PIX_FMT_YUV420##suf,  AV_PIX_FMT_YUV422##suf,  AV_PIX_FMT_YUV444##suf
+#define PF_ALPHA(suf)   AV_PIX_FMT_YUVA420##suf, AV_PIX_FMT_YUVA422##suf, AV_PIX_FMT_YUVA444##suf
+#define PF(suf)         PF_NOALPHA(suf), PF_ALPHA(suf)
+    PF(P), PF(P9), PF(P10), PF_NOALPHA(P12), PF_NOALPHA(P14), PF(P16),
+    AV_PIX_FMT_YUV440P, AV_PIX_FMT_YUV411P, AV_PIX_FMT_YUV410P,
+    AV_PIX_FMT_YUVJ411P, AV_PIX_FMT_YUVJ420P, AV_PIX_FMT_YUVJ422P,
+    AV_PIX_FMT_YUVJ440P, AV_PIX_FMT_YUVJ444P,
+    AV_PIX_FMT_GBRP, AV_PIX_FMT_GBRP9, AV_PIX_FMT_GBRP10,
+    AV_PIX_FMT_GBRP12, AV_PIX_FMT_GBRP14, AV_PIX_FMT_GBRP16,
+    AV_PIX_FMT_GBRAP, AV_PIX_FMT_GBRAP10, AV_PIX_FMT_GBRAP12, AV_PIX_FMT_GBRAP16,
+    AV_PIX_FMT_NONE
+};
+
+static int config_input_ref(AVFilterLink *inlink)
+{
+    const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format);
+    AVFilterContext  *ctx = inlink->dst;
+    XPSNRContext *const s = ctx->priv;
+    FilterLink *il = ff_filter_link(inlink);
+
+    if ((ctx->inputs[0]->w != ctx->inputs[1]->w) ||
+        (ctx->inputs[0]->h != ctx->inputs[1]->h)) {
+        av_log(ctx, AV_LOG_ERROR, "Width and height of the input videos must match.\n");
+        return AVERROR(EINVAL);
+    }
+    if (ctx->inputs[0]->format != ctx->inputs[1]->format) {
+        av_log(ctx, AV_LOG_ERROR, "The input videos must be of the same pixel format.\n");
+        return AVERROR(EINVAL);
+    }
+
+    s->bpp =  (desc->comp[0].depth <= 8 ? 1 : 2);
+    s->depth = desc->comp[0].depth;
+    s->max_error_64 = (1 << s->depth) - 1; /* conventional limit */
+    s->max_error_64 *= s->max_error_64;
+
+    s->frame_rate = il->frame_rate.num / il->frame_rate.den;
+
+    s->num_comps = (desc->nb_components > 3 ? 3 : desc->nb_components);
+
+    s->is_rgb = (ff_fill_rgba_map(s->rgba_map, inlink->format) >= 0);
+    s->comps[0] = (s->is_rgb ? 'R' : 'Y');
+    s->comps[1] = (s->is_rgb ? 'G' : 'U');
+    s->comps[2] = (s->is_rgb ? 'B' : 'V');
+    s->comps[3] = 'A';
+
+    s->plane_width [1] = s->plane_width [2] = AV_CEIL_RSHIFT(inlink->w, desc->log2_chroma_w);
+    s->plane_width [0] = s->plane_width [3] = inlink->w;
+    s->plane_height[1] = s->plane_height[2] = AV_CEIL_RSHIFT(inlink->h, desc->log2_chroma_h);
+    s->plane_height[0] = s->plane_height[3] = inlink->h;
+
+    s->dsp.sse_line = sse_line_16bit;
+    s->dsp.highds_func = highds; /* initialize filtering methods */
+    s->dsp.diff1st_func = diff1st;
+    s->dsp.diff2nd_func = diff2nd;
+#if ARCH_X86
+    ff_xpsnr_init_x86(&s->dsp, 15); /* initialize x86 SSE method */
+#endif
+
+    return 0;
+}
+
+static int config_output(AVFilterLink *outlink)
+{
+    AVFilterContext *ctx = outlink->src;
+    XPSNRContext *s = ctx->priv;
+    AVFilterLink *mainlink = ctx->inputs[0];
+    FilterLink *il = ff_filter_link(mainlink);
+    FilterLink *ol = ff_filter_link(outlink);
+    int ret;
+
+    if ((ret = ff_framesync_init_dualinput(&s->fs, ctx)) < 0)
+        return ret;
+
+    outlink->w = mainlink->w;
+    outlink->h = mainlink->h;
+    outlink->time_base = mainlink->time_base;
+    outlink->sample_aspect_ratio = mainlink->sample_aspect_ratio;
+    ol->frame_rate = il->frame_rate;
+
+    if ((ret = ff_framesync_configure(&s->fs)) < 0)
+        return ret;
+
+    outlink->time_base = s->fs.time_base;
+
+    if (av_cmp_q(mainlink->time_base, outlink->time_base) ||
+        av_cmp_q(ctx->inputs[1]->time_base, outlink->time_base))
+        av_log(ctx, AV_LOG_WARNING, "not matching timebases found between first input: %d/%d and second input %d/%d, results may be incorrect!\n",
+               mainlink->time_base.num, mainlink->time_base.den,
+               ctx->inputs[1]->time_base.num, ctx->inputs[1]->time_base.den);
+
+    return 0;
+}
+
+static int activate(AVFilterContext *ctx)
+{
+    XPSNRContext *s = ctx->priv;
+
+    return ff_framesync_activate(&s->fs);
+}
+
+static av_cold void uninit(AVFilterContext *ctx)
+{
+    XPSNRContext *const s = ctx->priv;
+    int c;
+
+    if (s->num_frames_64 > 0) { /* print out overall component-wise mean XPSNR */
+        const double xpsnr_luma = get_avg_xpsnr(s->sum_wdist[0],   s->sum_xpsnr[0],
+                                                s->plane_width[0], s->plane_height[0],
+                                                s->max_error_64,   s->num_frames_64);
+        double xpsnr_min = xpsnr_luma;
+
+        /* luma */
+        av_log(ctx, AV_LOG_INFO, "XPSNR  %c: %3.4f", s->comps[0], xpsnr_luma);
+        if (s->stats_file) {
+            fprintf(s->stats_file, "\nXPSNR average, %"PRId64" frames", s->num_frames_64);
+            fprintf(s->stats_file, "  %c: %3.4f", s->comps[0], xpsnr_luma);
+        }
+        /* chroma */
+        for (c = 1; c < s->num_comps; c++) {
+            const double xpsnr_chroma = get_avg_xpsnr(s->sum_wdist[c],   s->sum_xpsnr[c],
+                                                      s->plane_width[c], s->plane_height[c],
+                                                      s->max_error_64,   s->num_frames_64);
+            if (xpsnr_min > xpsnr_chroma)
+                xpsnr_min = xpsnr_chroma;
+
+            av_log(ctx, AV_LOG_INFO, "  %c: %3.4f", s->comps[c], xpsnr_chroma);
+            if (s->stats_file && s->stats_file != stdout)
+                fprintf(s->stats_file, "  %c: %3.4f", s->comps[c], xpsnr_chroma);
+        }
+        /* print out line break, and minimum XPSNR across the color components */
+        if (s->num_comps > 1) {
+            av_log(ctx, AV_LOG_INFO, "  (minimum: %3.4f)\n", xpsnr_min);
+            if (s->stats_file && s->stats_file != stdout)
+                fprintf(s->stats_file, "  (minimum: %3.4f)\n", xpsnr_min);
+        } else {
+            av_log(ctx, AV_LOG_INFO, "\n");
+            if (s->stats_file && s->stats_file != stdout)
+                fprintf(s->stats_file, "\n");
+        }
+    }
+
+    ff_framesync_uninit(&s->fs); /* free temporary picture or block buf memory */
+
+    if (s->stats_file && s->stats_file != stdout)
+        fclose(s->stats_file);
+
+    av_freep(&s->sse_luma);
+    av_freep(&s->weights );
+
+    for (c = 0; c < s->num_comps; c++) { /* free extra temporal org buf memory */
+        av_freep(s->buf_org_m1[c]);
+        av_freep(s->buf_org_m2[c]);
+    }
+    if (s->bpp == 1) { /* 8 bit */
+        for (c = 0; c < s->num_comps; c++) { /* and org/rec picture buf memory */
+            av_freep(s->buf_org[c]);
+            av_freep(s->buf_rec[c]);
+        }
+    }
+}
+
+static const AVFilterPad xpsnr_inputs[] = {
+    {
+        .name         = "main",
+        .type         = AVMEDIA_TYPE_VIDEO,
+    }, {
+        .name         = "reference",
+        .type         = AVMEDIA_TYPE_VIDEO,
+        .config_props = config_input_ref,
+    }
+};
+
+static const AVFilterPad xpsnr_outputs[] = {
+    {
+        .name         = "default",
+        .type         = AVMEDIA_TYPE_VIDEO,
+        .config_props = config_output,
+    }
+};
+
+const AVFilter ff_vf_xpsnr = {
+    .name         = "xpsnr",
+    .description  = NULL_IF_CONFIG_SMALL("Calculate the extended perceptually weighted peak signal-to-noise ratio (XPSNR) between two video streams."),
+    .preinit      = xpsnr_framesync_preinit,
+    .init         = init,
+    .uninit       = uninit,
+    .activate     = activate,
+    .priv_size    = sizeof(XPSNRContext),
+    .priv_class   = &xpsnr_class,
+    FILTER_INPUTS (xpsnr_inputs),
+    FILTER_OUTPUTS(xpsnr_outputs),
+    FILTER_PIXFMTS_ARRAY(xpsnr_formats),
+    .flags        = AVFILTER_FLAG_SUPPORT_TIMELINE_INTERNAL | AVFILTER_FLAG_METADATA_ONLY
+};
diff --git a/libavfilter/x86/Makefile b/libavfilter/x86/Makefile
index c05000d7fd..40d5b790ac 100644
--- a/libavfilter/x86/Makefile
+++ b/libavfilter/x86/Makefile
@@ -40,6 +40,7 @@  OBJS-$(CONFIG_TRANSPOSE_FILTER)              += x86/vf_transpose_init.o
 OBJS-$(CONFIG_VOLUME_FILTER)                 += x86/af_volume_init.o
 OBJS-$(CONFIG_V360_FILTER)                   += x86/vf_v360_init.o
 OBJS-$(CONFIG_W3FDIF_FILTER)                 += x86/vf_w3fdif_init.o
+OBJS-$(CONFIG_XPSNR_FILTER)                  += x86/vf_xpsnr_init.o
 OBJS-$(CONFIG_YADIF_FILTER)                  += x86/vf_yadif_init.o
 
 X86ASM-OBJS-$(CONFIG_SCENE_SAD)              += x86/scene_sad.o
diff --git a/libavfilter/x86/vf_xpsnr_init.c b/libavfilter/x86/vf_xpsnr_init.c
new file mode 100644
index 0000000000..d33657dcd5
--- /dev/null
+++ b/libavfilter/x86/vf_xpsnr_init.c
@@ -0,0 +1,43 @@ 
+/*
+ * Copyright (c) 2024 Christian R. Helmrich
+ * Copyright (c) 2024 Christian Lehmann
+ * Copyright (c) 2024 Christian Stoffers
+ *
+ * This file is part of FFmpeg.
+ *
+ * FFmpeg is free software; you can redistribute it and/or
+ * modify it under the terms of the GNU Lesser General Public
+ * License as published by the Free Software Foundation; either
+ * version 2.1 of the License, or (at your option) any later version.
+ *
+ * FFmpeg is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+ * Lesser General Public License for more details.
+ *
+ * You should have received a copy of the GNU Lesser General Public
+ * License along with FFmpeg; if not, write to the Free Software
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+ */
+
+/**
+ * @file
+ * SIMD initialization for calculation of extended perceptually weighted PSNR (XPSNR).
+ *
+ * Authors: Christian Helmrich, Lehmann, and Stoffers, Fraunhofer HHI, Berlin, Germany
+ */
+
+#include "libavutil/x86/cpu.h"
+#include "libavfilter/xpsnr.h"
+
+uint64_t ff_sse_line_16bit_sse2(const uint8_t *buf, const uint8_t *ref, const int w);
+
+void ff_xpsnr_init_x86(PSNRDSPContext *dsp, const int bpp)
+{
+    if (bpp <= 15) { /* XPSNR always operates with 16-bit internal precision */
+        const int cpu_flags = av_get_cpu_flags();
+
+        if (EXTERNAL_SSE2(cpu_flags))
+            dsp->sse_line = ff_sse_line_16bit_sse2;
+    }
+}
diff --git a/libavfilter/xpsnr.h b/libavfilter/xpsnr.h
new file mode 100644
index 0000000000..eb14e16062
--- /dev/null
+++ b/libavfilter/xpsnr.h
@@ -0,0 +1,48 @@ 
+/*
+ * Copyright (c) 2024 Christian R. Helmrich
+ * Copyright (c) 2024 Christian Lehmann
+ * Copyright (c) 2024 Christian Stoffers
+ *
+ * This file is part of FFmpeg.
+ *
+ * FFmpeg is free software; you can redistribute it and/or
+ * modify it under the terms of the GNU Lesser General Public
+ * License as published by the Free Software Foundation; either
+ * version 2.1 of the License, or (at your option) any later version.
+ *
+ * FFmpeg is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+ * Lesser General Public License for more details.
+ *
+ * You should have received a copy of the GNU Lesser General Public
+ * License along with FFmpeg; if not, write to the Free Software
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+ */
+
+/**
+ * @file
+ * Public declaration of DSP context structure of XPSNR measurement filter for FFmpeg.
+ *
+ * Authors: Christian Helmrich, Lehmann, and Stoffers, Fraunhofer HHI, Berlin, Germany
+ */
+
+#ifndef AVFILTER_XPSNR_H
+#define AVFILTER_XPSNR_H
+
+#include <stddef.h>
+#include <stdint.h>
+#include "libavutil/x86/cpu.h"
+
+/* public XPSNR DSP structure definition */
+
+typedef struct XPSNRDSPContext {
+    uint64_t (*sse_line) (const uint8_t *buf, const uint8_t *ref, const int w);
+    uint64_t (*highds_func) (const int x_act, const int y_act, const int w_act, const int h_act, const int16_t *o_m0, const int o);
+    uint64_t (*diff1st_func)(const uint32_t w_act, const uint32_t h_act, const int16_t *o_m0, int16_t *o_m1, const int o);
+    uint64_t (*diff2nd_func)(const uint32_t w_act, const uint32_t h_act, const int16_t *o_m0, int16_t *o_m1, int16_t *o_m2, const int o);
+} PSNRDSPContext;
+
+void ff_xpsnr_init_x86(PSNRDSPContext *dsp, const int bpp);
+
+#endif /* AVFILTER_XPSNR_H */