| /* |
| * Copyright (c) 2021, Alliance for Open Media. All rights reserved |
| * |
| * This source code is subject to the terms of the BSD 3-Clause Clear License |
| * and the Alliance for Open Media Patent License 1.0. If the BSD 3-Clause Clear |
| * License was not distributed with this source code in the LICENSE file, you |
| * can obtain it at aomedia.org/license/software-license/bsd-3-c-c/. If the |
| * Alliance for Open Media Patent License 1.0 was not distributed with this |
| * source code in the PATENTS file, you can obtain it at |
| * aomedia.org/license/patent-license/. |
| */ |
| |
| #include <stdbool.h> |
| #include <memory> |
| #include <tuple> |
| #include "aom_mem/aom_mem.h" |
| #include "av1/encoder/rdopt.h" |
| #include "test/util.h" |
| #include "third_party/googletest/src/googletest/include/gtest/gtest.h" |
| |
| namespace { |
| |
| using std::get; |
| using std::tuple; |
| |
| /** Get the (i, j) value from the input; if i or j is outside of the width |
| * or height, the nearest pixel value is returned. |
| */ |
| static int get_nearest_pix(const int *buf, int w, int h, int i, int j) { |
| int offset = AOMMAX(AOMMIN(i, w - 1), 0) + w * AOMMAX(AOMMIN(j, h - 1), 0); |
| return buf[offset]; |
| } |
| |
| /** Given the image data, creates a new image with padded values, so an |
| * 8-tap filter can be convolved. The padded value is the same as the closest |
| * value in the image. Returns a pointer to the start of the image in the |
| * padded data. Must be freed with free_pad_8tap. The output will be either |
| * 8-bit or 16-bit, depending on the high bit-depth (high_bd) field. |
| */ |
| static uint16_t *pad_8tap_convolve(const int *data, int w, int h) { |
| // SIMD optimizations require the width to be a multiple of 8 and the height |
| // to be multiples of 4. |
| assert(w % 8 == 0); |
| assert(h % 4 == 0); |
| // For an 8-tap filter, we need to pad with 3 lines on top and on the left, |
| // and 4 lines on the right and bottom, for 7 extra lines. |
| const int pad_w = w + 7; |
| const int pad_h = h + 7; |
| |
| uint16_t *dst = |
| (uint16_t *)aom_memalign(32, sizeof(uint16_t) * pad_w * pad_h); |
| if (dst == nullptr) { |
| EXPECT_NE(dst, nullptr); |
| return nullptr; |
| } |
| |
| for (int j = 0; j < pad_h; ++j) { |
| for (int i = 0; i < pad_w; ++i) { |
| const int v = get_nearest_pix(data, w, h, i - 3, j - 3); |
| dst[i + j * pad_w] = v; |
| } |
| } |
| return dst + (w + 7) * 3 + 3; |
| } |
| |
| static int stride_8tap(int width) { return width + 7; } |
| |
| static void free_pad_8tap(uint16_t *padded, int width) { |
| aom_free(padded - (width + 7) * 3 - 3); |
| } |
| |
| struct Pad8TapConvolveDeleter { |
| Pad8TapConvolveDeleter(const int width) : width(width) {} |
| void operator()(uint16_t *p) { |
| if (p != nullptr) { |
| free_pad_8tap(p, width); |
| } |
| } |
| const int width; |
| }; |
| |
| struct MallocBdDeleter { |
| explicit MallocBdDeleter(void) {} |
| void operator()(uint16_t *p) { aom_free(p); } |
| }; |
| |
| class EdgeDetectBrightnessTest : |
| // Parameters are (brightness, width, height, high bit depth representation, |
| // bit depth). |
| public ::testing::TestWithParam<tuple<int, int, int, int> > { |
| protected: |
| void SetUp() override { |
| // Allocate a (width by height) array of luma values in orig_. |
| // padded_ will be filled by the pad() call, which adds a border around |
| // the orig_. The output_ array has enough space for the computation. |
| const int brightness = GET_PARAM(0); |
| const int width = GET_PARAM(1); |
| const int height = GET_PARAM(2); |
| |
| // Create the padded image of uniform brightness. |
| std::unique_ptr<int[]> orig(new int[width * height]); |
| ASSERT_NE(orig, nullptr); |
| for (int i = 0; i < width * height; ++i) { |
| orig[i] = brightness; |
| } |
| input_ = pad_8tap_convolve(orig.get(), width, height); |
| ASSERT_NE(input_, nullptr); |
| output_ = (uint16_t *)aom_memalign(32, sizeof(uint16_t) * width * height); |
| ASSERT_NE(output_, nullptr); |
| } |
| |
| void TearDown() override { |
| const int width = GET_PARAM(1); |
| free_pad_8tap(input_, width); |
| aom_free(output_); |
| } |
| |
| // Skip the tests where brightness exceeds the bit-depth; we run into this |
| // issue because of gtest's limitation on valid combinations of test |
| // parameters. Also skip the tests where bit depth is greater than 8, but |
| // high bit depth representation is not set. |
| bool should_skip() const { |
| const int brightness = GET_PARAM(0); |
| const int bd = GET_PARAM(3); |
| if (brightness >= (1 << bd)) { |
| return true; |
| } |
| return false; |
| } |
| |
| uint16_t *input_; |
| uint16_t *output_; |
| }; |
| |
| TEST_P(EdgeDetectBrightnessTest, BlurUniformBrightness) { |
| // Some combination of parameters are non-sensical, due to limitations |
| // of the testing framework. Ignore these. |
| if (should_skip()) { |
| return; |
| } |
| |
| // For varying levels of brightness, the algorithm should |
| // produce the same output. |
| const int brightness = GET_PARAM(0); |
| const int width = GET_PARAM(1); |
| const int height = GET_PARAM(2); |
| const int bd = GET_PARAM(3); |
| |
| av1_gaussian_blur(input_, stride_8tap(width), width, height, output_, bd); |
| for (int i = 0; i < width * height; ++i) { |
| ASSERT_EQ(brightness, output_[i]); |
| } |
| } |
| |
| // No edges on a uniformly bright image. |
| TEST_P(EdgeDetectBrightnessTest, DetectUniformBrightness) { |
| if (should_skip()) { |
| return; |
| } |
| const int width = GET_PARAM(1); |
| const int height = GET_PARAM(2); |
| const int bd = GET_PARAM(3); |
| |
| ASSERT_EQ( |
| 0, |
| av1_edge_exists(input_, stride_8tap(width), width, height, bd).magnitude); |
| } |
| |
| INSTANTIATE_TEST_SUITE_P(ImageBrightnessTests, EdgeDetectBrightnessTest, |
| ::testing::Combine( |
| // Brightness |
| ::testing::Values(0, 1, 2, 127, 128, 129, 254, 255, |
| 256, 511, 512, 1023, 1024, 2048, |
| 4095), |
| // Width |
| ::testing::Values(8, 16, 32), |
| // Height |
| ::testing::Values(4, 8, 12, 32), |
| // Bit depth |
| ::testing::Values(8, 10, 12))); |
| |
| class EdgeDetectImageTest : |
| // Parameters are (width, height, high bit depth representation, bit depth). |
| public ::testing::TestWithParam<tuple<int, int, int> > {}; |
| |
| // Generate images with black on one side and white on the other. |
| TEST_P(EdgeDetectImageTest, BlackWhite) { |
| const int width = GET_PARAM(0); |
| const int height = GET_PARAM(1); |
| const int bd = GET_PARAM(2); |
| |
| const int white = (1 << bd) - 1; |
| std::unique_ptr<int[]> orig(new int[width * height]); |
| for (int j = 0; j < height; ++j) { |
| for (int i = 0; i < width; ++i) { |
| if (i < width / 2) { |
| orig[i + j * width] = 0; |
| } else { |
| orig[i + j * width] = white; |
| } |
| } |
| } |
| |
| std::unique_ptr<uint16_t[], Pad8TapConvolveDeleter> padded( |
| pad_8tap_convolve(orig.get(), width, height), |
| Pad8TapConvolveDeleter(width)); |
| ASSERT_NE(padded, nullptr); |
| // Value should be between 556 and 560. |
| ASSERT_LE(556, |
| av1_edge_exists(padded.get(), stride_8tap(width), width, height, bd) |
| .magnitude); |
| ASSERT_GE(560, |
| av1_edge_exists(padded.get(), stride_8tap(width), width, height, bd) |
| .magnitude); |
| } |
| |
| // Hardcoded blur tests. |
| static const int luma[32] = { 241, 147, 7, 90, 184, 103, 28, 186, |
| 2, 248, 49, 242, 114, 146, 127, 22, |
| 121, 228, 167, 108, 158, 174, 41, 168, |
| 214, 99, 184, 109, 114, 247, 117, 119 }; |
| static const uint16_t expected[] = { 161, 138, 119, 118, 123, 118, 113, 122, |
| 143, 140, 134, 133, 134, 126, 116, 114, |
| 147, 149, 145, 142, 143, 138, 126, 118, |
| 164, 156, 148, 144, 148, 148, 138, 126 }; |
| |
| static void hardcoded_blur_test_aux(void) { |
| const int w = 8; |
| const int h = 4; |
| for (int bd = 8; bd <= 12; bd += 2) { |
| // Skip the tests where bit depth is greater than 8, but high bit depth |
| // representation is not set. |
| std::unique_ptr<uint16_t[], MallocBdDeleter> output( |
| (uint16_t *)aom_memalign(32, sizeof(uint16_t) * w * h), |
| MallocBdDeleter()); |
| ASSERT_NE(output, nullptr); |
| std::unique_ptr<uint16_t[], Pad8TapConvolveDeleter> padded( |
| pad_8tap_convolve(luma, w, h), Pad8TapConvolveDeleter(w)); |
| ASSERT_NE(padded, nullptr); |
| av1_gaussian_blur(padded.get(), stride_8tap(w), w, h, output.get(), bd); |
| for (int i = 0; i < w * h; ++i) { |
| uint16_t *buf = output.get(); |
| ASSERT_EQ(expected[i], buf[i]); |
| } |
| |
| // If we multiply the inputs by a constant factor, the output should not |
| // vary more than 0.5 * factor. |
| for (int c = 2; c < (1 << (bd - 8)); ++c) { |
| int scaled_luma[32]; |
| for (int i = 0; i < 32; ++i) { |
| scaled_luma[i] = luma[i] * c; |
| } |
| padded.reset(pad_8tap_convolve(scaled_luma, w, h)); |
| ASSERT_NE(padded, nullptr); |
| av1_gaussian_blur(padded.get(), stride_8tap(w), w, h, output.get(), bd); |
| for (int i = 0; i < w * h; ++i) { |
| uint16_t *buf = output.get(); |
| ASSERT_GE(c / 2, abs(expected[i] * c - buf[i])); |
| } |
| } |
| } |
| } |
| |
| TEST(EdgeDetectImageTest, HardcodedBlurTest) { hardcoded_blur_test_aux(); } |
| |
| TEST(EdgeDetectImageTest, SobelTest) { |
| // Randomly generated 3x3. Compute Sobel for middle value. |
| const uint16_t buf8_16[9] = { 241, 147, 7, 90, 184, 103, 28, 186, 2 }; |
| const int stride = 3; |
| sobel_xy result = av1_sobel(buf8_16, stride, 1, 1); |
| ASSERT_EQ(234, result.x); |
| ASSERT_EQ(140, result.y); |
| |
| // Verify it works for high bit-depth values as well. |
| const uint16_t buf16[9] = { 241, 147, 7, 90, 184, 2003, 1028, 186, 2 }; |
| result = av1_sobel(buf16, stride, 1, 1); |
| ASSERT_EQ(-2566, result.x); |
| ASSERT_EQ(-860, result.y); |
| } |
| |
| INSTANTIATE_TEST_SUITE_P(EdgeDetectImages, EdgeDetectImageTest, |
| ::testing::Combine( |
| // Width |
| ::testing::Values(8, 16, 32), |
| // Height |
| ::testing::Values(4, 8, 12, 32), |
| // Bit depth |
| ::testing::Values(8, 10, 12))); |
| } // namespace |