*/
#include "libavutil/imgutils.h"
+#include "libavutil/intreadwrite.h"
#include "libavutil/opt.h"
#include "libavutil/pixdesc.h"
#include "avfilter.h"
+#include "drawutils.h"
#include "formats.h"
#include "internal.h"
#include "video.h"
+typedef struct NormalizeHistory {
+ uint16_t *history; // History entries.
+ uint64_t history_sum; // Sum of history entries.
+} NormalizeHistory;
+
+typedef struct NormalizeLocal {
+ uint16_t in; // Original input byte value for this frame.
+ float smoothed; // Smoothed input value [0,255].
+ float out; // Output value [0,255]
+} NormalizeLocal;
+
typedef struct NormalizeContext {
const AVClass *class;
float independence;
float strength;
- int co[4]; // Offsets to R,G,B,A bytes respectively in each pixel
+ uint8_t co[4]; // Offsets to R,G,B,A bytes respectively in each pixel
+ int depth;
+ int sblackpt[4];
+ int swhitept[4];
int num_components; // Number of components in the pixel format
+ int step;
int history_len; // Number of frames to average; based on smoothing factor
int frame_num; // Increments on each frame, starting from 0.
// Per-extremum, per-channel history, for temporal smoothing.
- struct {
- uint8_t *history; // History entries.
- uint32_t history_sum; // Sum of history entries.
- } min[3], max[3]; // Min and max for each channel in {R,G,B}.
- uint8_t *history_mem; // Single allocation for above history entries
+ NormalizeHistory min[3], max[3]; // Min and max for each channel in {R,G,B}.
+ uint16_t *history_mem; // Single allocation for above history entries
+
+ uint16_t lut[3][65536]; // Lookup table
+ void (*find_min_max)(struct NormalizeContext *s, AVFrame *in, NormalizeLocal min[3], NormalizeLocal max[3]);
+ void (*process)(struct NormalizeContext *s, AVFrame *in, AVFrame *out);
} NormalizeContext;
#define OFFSET(x) offsetof(NormalizeContext, x)
#define FLAGS AV_OPT_FLAG_VIDEO_PARAM|AV_OPT_FLAG_FILTERING_PARAM
+#define FLAGSR AV_OPT_FLAG_VIDEO_PARAM|AV_OPT_FLAG_FILTERING_PARAM|AV_OPT_FLAG_RUNTIME_PARAM
static const AVOption normalize_options[] = {
- { "blackpt", "output color to which darkest input color is mapped", OFFSET(blackpt), AV_OPT_TYPE_COLOR, { .str = "black" }, CHAR_MIN, CHAR_MAX, FLAGS },
- { "whitept", "output color to which brightest input color is mapped", OFFSET(whitept), AV_OPT_TYPE_COLOR, { .str = "white" }, CHAR_MIN, CHAR_MAX, FLAGS },
+ { "blackpt", "output color to which darkest input color is mapped", OFFSET(blackpt), AV_OPT_TYPE_COLOR, { .str = "black" }, 0, 0, FLAGSR },
+ { "whitept", "output color to which brightest input color is mapped", OFFSET(whitept), AV_OPT_TYPE_COLOR, { .str = "white" }, 0, 0, FLAGSR },
{ "smoothing", "amount of temporal smoothing of the input range, to reduce flicker", OFFSET(smoothing), AV_OPT_TYPE_INT, {.i64=0}, 0, INT_MAX/8, FLAGS },
- { "independence", "proportion of independent to linked channel normalization", OFFSET(independence), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 1.0, FLAGS },
- { "strength", "strength of filter, from no effect to full normalization", OFFSET(strength), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 1.0, FLAGS },
+ { "independence", "proportion of independent to linked channel normalization", OFFSET(independence), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 1.0, FLAGSR },
+ { "strength", "strength of filter, from no effect to full normalization", OFFSET(strength), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 1.0, FLAGSR },
{ NULL }
};
AVFILTER_DEFINE_CLASS(normalize);
+static void find_min_max(NormalizeContext *s, AVFrame *in, NormalizeLocal min[3], NormalizeLocal max[3])
+{
+ for (int c = 0; c < 3; c++)
+ min[c].in = max[c].in = in->data[0][s->co[c]];
+ for (int y = 0; y < in->height; y++) {
+ uint8_t *inp = in->data[0] + y * in->linesize[0];
+ for (int x = 0; x < in->width; x++) {
+ for (int c = 0; c < 3; c++) {
+ min[c].in = FFMIN(min[c].in, inp[s->co[c]]);
+ max[c].in = FFMAX(max[c].in, inp[s->co[c]]);
+ }
+ inp += s->step;
+ }
+ }
+}
+
+static void process(NormalizeContext *s, AVFrame *in, AVFrame *out)
+{
+ for (int y = 0; y < in->height; y++) {
+ uint8_t *inp = in->data[0] + y * in->linesize[0];
+ uint8_t *outp = out->data[0] + y * out->linesize[0];
+ for (int x = 0; x < in->width; x++) {
+ for (int c = 0; c < 3; c++)
+ outp[s->co[c]] = s->lut[c][inp[s->co[c]]];
+ if (s->num_components == 4)
+ // Copy alpha as-is.
+ outp[s->co[3]] = inp[s->co[3]];
+ inp += s->step;
+ outp += s->step;
+ }
+ }
+}
+
+static void find_min_max_planar(NormalizeContext *s, AVFrame *in, NormalizeLocal min[3], NormalizeLocal max[3])
+{
+ min[0].in = max[0].in = in->data[2][0];
+ min[1].in = max[1].in = in->data[0][0];
+ min[2].in = max[2].in = in->data[1][0];
+ for (int y = 0; y < in->height; y++) {
+ uint8_t *inrp = in->data[2] + y * in->linesize[2];
+ uint8_t *ingp = in->data[0] + y * in->linesize[0];
+ uint8_t *inbp = in->data[1] + y * in->linesize[1];
+ for (int x = 0; x < in->width; x++) {
+ min[0].in = FFMIN(min[0].in, inrp[x]);
+ max[0].in = FFMAX(max[0].in, inrp[x]);
+ min[1].in = FFMIN(min[1].in, ingp[x]);
+ max[1].in = FFMAX(max[1].in, ingp[x]);
+ min[2].in = FFMIN(min[2].in, inbp[x]);
+ max[2].in = FFMAX(max[2].in, inbp[x]);
+ }
+ }
+}
+
+static void process_planar(NormalizeContext *s, AVFrame *in, AVFrame *out)
+{
+ for (int y = 0; y < in->height; y++) {
+ uint8_t *inrp = in->data[2] + y * in->linesize[2];
+ uint8_t *ingp = in->data[0] + y * in->linesize[0];
+ uint8_t *inbp = in->data[1] + y * in->linesize[1];
+ uint8_t *inap = in->data[3] + y * in->linesize[3];
+ uint8_t *outrp = out->data[2] + y * out->linesize[2];
+ uint8_t *outgp = out->data[0] + y * out->linesize[0];
+ uint8_t *outbp = out->data[1] + y * out->linesize[1];
+ uint8_t *outap = out->data[3] + y * out->linesize[3];
+ for (int x = 0; x < in->width; x++) {
+ outrp[x] = s->lut[0][inrp[x]];
+ outgp[x] = s->lut[1][ingp[x]];
+ outbp[x] = s->lut[2][inbp[x]];
+ if (s->num_components == 4)
+ outap[x] = inap[x];
+ }
+ }
+}
+
+static void find_min_max_16(NormalizeContext *s, AVFrame *in, NormalizeLocal min[3], NormalizeLocal max[3])
+{
+ for (int c = 0; c < 3; c++)
+ min[c].in = max[c].in = AV_RN16(in->data[0] + 2 * s->co[c]);
+ for (int y = 0; y < in->height; y++) {
+ uint16_t *inp = (uint16_t *)(in->data[0] + y * in->linesize[0]);
+ for (int x = 0; x < in->width; x++) {
+ for (int c = 0; c < 3; c++) {
+ min[c].in = FFMIN(min[c].in, inp[s->co[c]]);
+ max[c].in = FFMAX(max[c].in, inp[s->co[c]]);
+ }
+ inp += s->step;
+ }
+ }
+}
+
+static void process_16(NormalizeContext *s, AVFrame *in, AVFrame *out)
+{
+ for (int y = 0; y < in->height; y++) {
+ uint16_t *inp = (uint16_t *)(in->data[0] + y * in->linesize[0]);
+ uint16_t *outp = (uint16_t *)(out->data[0] + y * out->linesize[0]);
+ for (int x = 0; x < in->width; x++) {
+ for (int c = 0; c < 3; c++)
+ outp[s->co[c]] = s->lut[c][inp[s->co[c]]];
+ if (s->num_components == 4)
+ // Copy alpha as-is.
+ outp[s->co[3]] = inp[s->co[3]];
+ inp += s->step;
+ outp += s->step;
+ }
+ }
+}
+
+static void find_min_max_planar_16(NormalizeContext *s, AVFrame *in, NormalizeLocal min[3], NormalizeLocal max[3])
+{
+ min[0].in = max[0].in = AV_RN16(in->data[2]);
+ min[1].in = max[1].in = AV_RN16(in->data[0]);
+ min[2].in = max[2].in = AV_RN16(in->data[1]);
+ for (int y = 0; y < in->height; y++) {
+ uint16_t *inrp = (uint16_t *)(in->data[2] + y * in->linesize[2]);
+ uint16_t *ingp = (uint16_t *)(in->data[0] + y * in->linesize[0]);
+ uint16_t *inbp = (uint16_t *)(in->data[1] + y * in->linesize[1]);
+ for (int x = 0; x < in->width; x++) {
+ min[0].in = FFMIN(min[0].in, inrp[x]);
+ max[0].in = FFMAX(max[0].in, inrp[x]);
+ min[1].in = FFMIN(min[1].in, ingp[x]);
+ max[1].in = FFMAX(max[1].in, ingp[x]);
+ min[2].in = FFMIN(min[2].in, inbp[x]);
+ max[2].in = FFMAX(max[2].in, inbp[x]);
+ }
+ }
+}
+
+static void process_planar_16(NormalizeContext *s, AVFrame *in, AVFrame *out)
+{
+ for (int y = 0; y < in->height; y++) {
+ uint16_t *inrp = (uint16_t *)(in->data[2] + y * in->linesize[2]);
+ uint16_t *ingp = (uint16_t *)(in->data[0] + y * in->linesize[0]);
+ uint16_t *inbp = (uint16_t *)(in->data[1] + y * in->linesize[1]);
+ uint16_t *inap = (uint16_t *)(in->data[3] + y * in->linesize[3]);
+ uint16_t *outrp = (uint16_t *)(out->data[2] + y * out->linesize[2]);
+ uint16_t *outgp = (uint16_t *)(out->data[0] + y * out->linesize[0]);
+ uint16_t *outbp = (uint16_t *)(out->data[1] + y * out->linesize[1]);
+ uint16_t *outap = (uint16_t *)(out->data[3] + y * out->linesize[3]);
+ for (int x = 0; x < in->width; x++) {
+ outrp[x] = s->lut[0][inrp[x]];
+ outgp[x] = s->lut[1][ingp[x]];
+ outbp[x] = s->lut[2][inbp[x]];
+ if (s->num_components == 4)
+ outap[x] = inap[x];
+ }
+ }
+}
+
// This function is the main guts of the filter. Normalizes the input frame
// into the output frame. The frames are known to have the same dimensions
// and pixel format.
static void normalize(NormalizeContext *s, AVFrame *in, AVFrame *out)
{
// Per-extremum, per-channel local variables.
- struct {
- uint8_t in; // Original input byte value for this frame.
- float smoothed; // Smoothed input value [0,255].
- float out; // Output value [0,255].
- } min[3], max[3]; // Min and max for each channel in {R,G,B}.
+ NormalizeLocal min[3], max[3]; // Min and max for each channel in {R,G,B}.
float rgb_min_smoothed; // Min input range for linked normalization
float rgb_max_smoothed; // Max input range for linked normalization
- uint8_t lut[3][256]; // Lookup table
- int x, y, c;
+ int c;
// First, scan the input frame to find, for each channel, the minimum
// (min.in) and maximum (max.in) values present in the channel.
- for (c = 0; c < 3; c++)
- min[c].in = max[c].in = in->data[0][s->co[c]];
- for (y = 0; y < in->height; y++) {
- uint8_t *inp = in->data[0] + y * in->linesize[0];
- uint8_t *outp = out->data[0] + y * out->linesize[0];
- for (x = 0; x < in->width; x++) {
- for (c = 0; c < 3; c++) {
- min[c].in = FFMIN(min[c].in, inp[s->co[c]]);
- max[c].in = FFMAX(max[c].in, inp[s->co[c]]);
- }
- inp += s->num_components;
- outp += s->num_components;
- }
- }
+ s->find_min_max(s, in, min, max);
// Next, for each channel, push min.in and max.in into their respective
// histories, to determine the min.smoothed and max.smoothed for this frame.
// Calculate the output range [min.out,max.out] as a ratio of the full-
// strength output range [blackpt,whitept] and the original input range
// [min.in,max.in], based on the user-specified filter strength.
- min[c].out = (s->blackpt[c] * s->strength)
+ min[c].out = (s->sblackpt[c] * s->strength)
+ (min[c].in * (1.0f - s->strength));
- max[c].out = (s->whitept[c] * s->strength)
+ max[c].out = (s->swhitept[c] * s->strength)
+ (max[c].in * (1.0f - s->strength));
// Now, build a lookup table which linearly maps the adjusted input range
if (min[c].smoothed == max[c].smoothed) {
// There is no dynamic range to expand. No mapping for this channel.
for (in_val = min[c].in; in_val <= max[c].in; in_val++)
- lut[c][in_val] = min[c].out;
+ s->lut[c][in_val] = min[c].out;
} else {
// We must set lookup values for all values in the original input
// range [min.in,max.in]. Since the original input range may be
float scale = (max[c].out - min[c].out) / (max[c].smoothed - min[c].smoothed);
for (in_val = min[c].in; in_val <= max[c].in; in_val++) {
int out_val = (in_val - min[c].smoothed) * scale + min[c].out + 0.5f;
- out_val = FFMAX(out_val, 0);
- out_val = FFMIN(out_val, 255);
- lut[c][in_val] = out_val;
+ out_val = av_clip_uintp2_c(out_val, s->depth);
+ s->lut[c][in_val] = out_val;
}
}
}
// Finally, process the pixels of the input frame using the lookup tables.
- for (y = 0; y < in->height; y++) {
- uint8_t *inp = in->data[0] + y * in->linesize[0];
- uint8_t *outp = out->data[0] + y * out->linesize[0];
- for (x = 0; x < in->width; x++) {
- for (c = 0; c < 3; c++)
- outp[s->co[c]] = lut[c][inp[s->co[c]]];
- if (s->num_components == 4)
- // Copy alpha as-is.
- outp[s->co[3]] = inp[s->co[3]];
- inp += s->num_components;
- outp += s->num_components;
- }
- }
+ s->process(s, in, out);
s->frame_num++;
}
AV_PIX_FMT_RGB0,
AV_PIX_FMT_0BGR,
AV_PIX_FMT_BGR0,
+ AV_PIX_FMT_RGB48, AV_PIX_FMT_BGR48,
+ AV_PIX_FMT_RGBA64, AV_PIX_FMT_BGRA64,
+ 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
};
// According to filter_design.txt, using ff_set_common_formats() this way
NormalizeContext *s = inlink->dst->priv;
// Store offsets to R,G,B,A bytes respectively in each pixel
const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format);
- int c;
+ int c, planar, scale;
- for (c = 0; c < 4; ++c)
- s->co[c] = desc->comp[c].offset;
+ ff_fill_rgba_map(s->co, inlink->format);
+ s->depth = desc->comp[0].depth;
+ scale = 1 << (s->depth - 8);
s->num_components = desc->nb_components;
+ s->step = av_get_padded_bits_per_pixel(desc) >> (3 + (s->depth > 8));
// Convert smoothing value to history_len (a count of frames to average,
// must be at least 1). Currently this is a direct assignment, but the
// smoothing value was originally envisaged as a number of seconds. In
// Allocate the history buffers -- there are 6 -- one for each extrema.
// s->smoothing is limited to INT_MAX/8, so that (s->history_len * 6)
// can't overflow on 32bit causing a too-small allocation.
- s->history_mem = av_malloc(s->history_len * 6);
+ s->history_mem = av_malloc(s->history_len * 6 * sizeof(*s->history_mem));
if (s->history_mem == NULL)
return AVERROR(ENOMEM);
for (c = 0; c < 3; c++) {
s->min[c].history = s->history_mem + (c*2) * s->history_len;
s->max[c].history = s->history_mem + (c*2+1) * s->history_len;
+ s->sblackpt[c] = scale * s->blackpt[c] + (s->blackpt[c] & (1 << (s->depth - 8)));
+ s->swhitept[c] = scale * s->whitept[c] + (s->whitept[c] & (1 << (s->depth - 8)));
}
+
+ planar = desc->flags & AV_PIX_FMT_FLAG_PLANAR;
+
+ if (s->depth <= 8) {
+ s->find_min_max = planar ? find_min_max_planar : find_min_max;
+ s->process = planar? process_planar : process;
+ } else {
+ s->find_min_max = planar ? find_min_max_planar_16 : find_min_max_16;
+ s->process = planar? process_planar_16 : process_16;
+ }
+
return 0;
}
{ NULL }
};
-AVFilter ff_vf_normalize = {
+const AVFilter ff_vf_normalize = {
.name = "normalize",
.description = NULL_IF_CONFIG_SMALL("Normalize RGB video."),
.priv_size = sizeof(NormalizeContext),
.query_formats = query_formats,
.inputs = inputs,
.outputs = outputs,
+ .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_INTERNAL,
+ .process_command = ff_filter_process_command,
};
projects / ffmpeg / blobdiff