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/*
* Copyright (c) 2015 The WebRTC project authors. All Rights Reserved.
*
* Use of this source code is governed by a BSD-style license
* that can be found in the LICENSE file in the root of the source
* tree. An additional intellectual property rights grant can be found
* in the file PATENTS. All contributing project authors may
* be found in the AUTHORS file in the root of the source tree.
*/
#include <string.h>
#include "webrtc/common_video/libyuv/include/webrtc_libyuv.h"
#include "webrtc/modules/video_processing/include/video_processing.h"
#include "webrtc/modules/video_processing/test/video_processing_unittest.h"
#include "webrtc/modules/video_processing/video_denoiser.h"
namespace webrtc {
TEST_F(VideoProcessingTest, CopyMem) {
rtc::scoped_ptr<DenoiserFilter> df_c(DenoiserFilter::Create(false));
rtc::scoped_ptr<DenoiserFilter> df_sse_neon(DenoiserFilter::Create(true));
uint8_t src[16 * 16], dst[16 * 16];
for (int i = 0; i < 16; ++i) {
for (int j = 0; j < 16; ++j) {
src[i * 16 + j] = i * 16 + j;
}
}
memset(dst, 0, 8 * 8);
df_c->CopyMem8x8(src, 8, dst, 8);
EXPECT_EQ(0, memcmp(src, dst, 8 * 8));
memset(dst, 0, 16 * 16);
df_c->CopyMem16x16(src, 16, dst, 16);
EXPECT_EQ(0, memcmp(src, dst, 16 * 16));
memset(dst, 0, 8 * 8);
df_sse_neon->CopyMem16x16(src, 8, dst, 8);
EXPECT_EQ(0, memcmp(src, dst, 8 * 8));
memset(dst, 0, 16 * 16);
df_sse_neon->CopyMem16x16(src, 16, dst, 16);
EXPECT_EQ(0, memcmp(src, dst, 16 * 16));
}
TEST_F(VideoProcessingTest, Variance) {
rtc::scoped_ptr<DenoiserFilter> df_c(DenoiserFilter::Create(false));
rtc::scoped_ptr<DenoiserFilter> df_sse_neon(DenoiserFilter::Create(true));
uint8_t src[16 * 16], dst[16 * 16];
uint32_t sum = 0, sse = 0, var;
for (int i = 0; i < 16; ++i) {
for (int j = 0; j < 16; ++j) {
src[i * 16 + j] = i * 16 + j;
}
}
// Compute the 16x8 variance of the 16x16 block.
for (int i = 0; i < 8; ++i) {
for (int j = 0; j < 16; ++j) {
sum += (i * 32 + j);
sse += (i * 32 + j) * (i * 32 + j);
}
}
var = sse - ((sum * sum) >> 7);
memset(dst, 0, 16 * 16);
EXPECT_EQ(var, df_c->Variance16x8(src, 16, dst, 16, &sse));
EXPECT_EQ(var, df_sse_neon->Variance16x8(src, 16, dst, 16, &sse));
}
TEST_F(VideoProcessingTest, MbDenoise) {
rtc::scoped_ptr<DenoiserFilter> df_c(DenoiserFilter::Create(false));
rtc::scoped_ptr<DenoiserFilter> df_sse_neon(DenoiserFilter::Create(true));
uint8_t running_src[16 * 16], src[16 * 16], dst[16 * 16], dst_ref[16 * 16];
// Test case: |diff| <= |3 + shift_inc1|
for (int i = 0; i < 16; ++i) {
for (int j = 0; j < 16; ++j) {
running_src[i * 16 + j] = i * 11 + j;
src[i * 16 + j] = i * 11 + j + 2;
dst_ref[i * 16 + j] = running_src[i * 16 + j];
}
}
memset(dst, 0, 16 * 16);
df_c->MbDenoise(running_src, 16, dst, 16, src, 16, 0, 1);
EXPECT_EQ(0, memcmp(dst, dst_ref, 16 * 16));
// Test case: |diff| >= |4 + shift_inc1|
for (int i = 0; i < 16; ++i) {
for (int j = 0; j < 16; ++j) {
running_src[i * 16 + j] = i * 11 + j;
src[i * 16 + j] = i * 11 + j + 5;
dst_ref[i * 16 + j] = src[i * 16 + j] - 2;
}
}
memset(dst, 0, 16 * 16);
df_c->MbDenoise(running_src, 16, dst, 16, src, 16, 0, 1);
EXPECT_EQ(0, memcmp(dst, dst_ref, 16 * 16));
memset(dst, 0, 16 * 16);
df_sse_neon->MbDenoise(running_src, 16, dst, 16, src, 16, 0, 1);
EXPECT_EQ(0, memcmp(dst, dst_ref, 16 * 16));
// Test case: |diff| >= 8
for (int i = 0; i < 16; ++i) {
for (int j = 0; j < 16; ++j) {
running_src[i * 16 + j] = i * 11 + j;
src[i * 16 + j] = i * 11 + j + 8;
dst_ref[i * 16 + j] = src[i * 16 + j] - 6;
}
}
memset(dst, 0, 16 * 16);
df_c->MbDenoise(running_src, 16, dst, 16, src, 16, 0, 1);
EXPECT_EQ(0, memcmp(dst, dst_ref, 16 * 16));
memset(dst, 0, 16 * 16);
df_sse_neon->MbDenoise(running_src, 16, dst, 16, src, 16, 0, 1);
EXPECT_EQ(0, memcmp(dst, dst_ref, 16 * 16));
// Test case: |diff| > 15
for (int i = 0; i < 16; ++i) {
for (int j = 0; j < 16; ++j) {
running_src[i * 16 + j] = i * 11 + j;
src[i * 16 + j] = i * 11 + j + 16;
}
}
memset(dst, 0, 16 * 16);
DenoiserDecision decision =
df_c->MbDenoise(running_src, 16, dst, 16, src, 16, 0, 1);
EXPECT_EQ(COPY_BLOCK, decision);
decision = df_sse_neon->MbDenoise(running_src, 16, dst, 16, src, 16, 0, 1);
EXPECT_EQ(COPY_BLOCK, decision);
}
TEST_F(VideoProcessingTest, Denoiser) {
// Create pure C denoiser.
VideoDenoiser denoiser_c(false);
// Create SSE or NEON denoiser.
VideoDenoiser denoiser_sse_neon(true);
VideoFrame denoised_frame_c;
VideoFrame denoised_frame_sse_neon;
rtc::scoped_ptr<uint8_t[]> video_buffer(new uint8_t[frame_length_]);
while (fread(video_buffer.get(), 1, frame_length_, source_file_) ==
frame_length_) {
// Using ConvertToI420 to add stride to the image.
EXPECT_EQ(0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_, height_,
0, kVideoRotation_0, &video_frame_));
denoiser_c.DenoiseFrame(video_frame_, &denoised_frame_c);
denoiser_sse_neon.DenoiseFrame(video_frame_, &denoised_frame_sse_neon);
// Denoising results should be the same for C and SSE/NEON denoiser.
ASSERT_EQ(true, denoised_frame_c.EqualsFrame(denoised_frame_sse_neon));
}
ASSERT_NE(0, feof(source_file_)) << "Error reading source file";
}
} // namespace webrtc
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