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... | @@ -64,16 +64,18 @@ Our Proposed Codec | ... | @@ -64,16 +64,18 @@ Our Proposed Codec |
64 | 64 | ||
65 | Performance Test | 65 | Performance Test |
66 | ------------- | 66 | ------------- |
67 | -#### PSNR | 67 | +#### PSNR (Peak Signal to Noise Ratio) |
68 | ![ex_screenshot](./PSNR.png) | 68 | ![ex_screenshot](./PSNR.png) |
69 | -#### MS-SSIM | 69 | +#### MS-SSIM (multi-scale Structural SIMilarity) |
70 | +구조적 유사도 지수 | ||
70 | #### BPP | 71 | #### BPP |
71 | (#압축에 사용된 전체 Bit 수) / (#전체 화소수) | 72 | (#압축에 사용된 전체 Bit 수) / (#전체 화소수) |
72 | #### RD-Curve | 73 | #### RD-Curve |
73 | MSE Curve | MS-SSIM Curve | 74 | MSE Curve | MS-SSIM Curve |
74 | :-------------------------:|:-------------------------: | 75 | :-------------------------:|:-------------------------: |
75 | ![anchor_curve](./RD_curve.PNG) | ![ms-ssim_curve](./RD_curve_msssim.PNG) | 76 | ![anchor_curve](./RD_curve.PNG) | ![ms-ssim_curve](./RD_curve_msssim.PNG) |
76 | -#### BD-rate | 77 | +#### BD-rate (Bjontegaard-Delta rate) |
78 | + | ||
77 | 79 | ||
78 | Code explanation | 80 | Code explanation |
79 | ------------- | 81 | ------------- |
... | @@ -127,9 +129,9 @@ PostProcessing: HEVC 또는 VVC에서 Decoding된 영상(10bit, BGR)을 8it, RGB | ... | @@ -127,9 +129,9 @@ PostProcessing: HEVC 또는 VVC에서 Decoding된 영상(10bit, BGR)을 8it, RGB |
127 | codec_allIntra: ALL Intra Compression Codec | 129 | codec_allIntra: ALL Intra Compression Codec |
128 | codec_proposed: First Frame Intra Compression + Other Frame Residual(clip(recon-ref, -0.5, 0.5)+0.5) Compression Codec | 130 | codec_proposed: First Frame Intra Compression + Other Frame Residual(clip(recon-ref, -0.5, 0.5)+0.5) Compression Codec |
129 | codec_anotherMethod: First Frame Intra + Other Frame Residual1(clip(recon-ref, 0, 1)), Residual2(-clip(recon-ref, -1, 0)) Codec | 131 | codec_anotherMethod: First Frame Intra + Other Frame Residual1(clip(recon-ref, 0, 1)), Residual2(-clip(recon-ref, -1, 0)) Codec |
130 | -train_RGB.py: Training code of RGB 444 format residual image with MSE loss | 132 | +train_RGB.py: Training code of RGB 444 format residual image with MSE loss |
131 | -train_RGB_MS-SSIMloss.py: Training code of RGB 444 format residual image with MS-SSIM loss | 133 | +train_RGB_MS-SSIMloss.py: Training code of RGB 444 format residual image with MS-SSIM loss |
132 | -train_YCbCr.py: Training code of YCbCr 444 format residual image with MSE loss | 134 | +train_YCbCr.py: Training code of YCbCr 444 format residual image with MSE loss |
133 | 135 | ||
134 | 명령어 | 136 | 명령어 |
135 | ```python | 137 | ```python | ... | ... |
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