Merge branch 'master' of http://khuhub.khu.ac.kr/2021-1-capstone-design1/KHY_Project1

@@ -64,14 +64,18 @@ Our Proposed Codec
 
 Performance Test
 -------------
-#### PSNR
+#### PSNR (Peak Signal to Noise Ratio)
 ![ex_screenshot](./PSNR.png)
-#### MS-SSIM
+#### MS-SSIM (multi-scale Structural SIMilarity)
+구조적 유사도 지수
 #### BPP
 (#압축에 사용된 전체 Bit 수) / (#전체 화소수)       
 #### RD-Curve
-![anchor_curve](./RD_curve.PNG)
-#### BD-rate
+  MSE Curve  |  MS-SSIM Curve
+:-------------------------:|:-------------------------:
+![anchor_curve](./RD_curve.PNG)  |  ![ms-ssim_curve](./RD_curve_msssim.PNG)
+#### BD-rate (Bjontegaard-Delta rate)
+
 
 Code explanation
 -------------
@@ -125,9 +129,9 @@ PostProcessing: HEVC 또는 VVC에서 Decoding된 영상(10bit, BGR)을 8it, RGB
 codec_allIntra: ALL Intra Compression Codec    
 codec_proposed: First Frame Intra Compression + Other Frame Residual(clip(recon-ref, -0.5, 0.5)+0.5) Compression Codec    
 codec_anotherMethod: First Frame Intra + Other Frame Residual1(clip(recon-ref, 0, 1)), Residual2(-clip(recon-ref, -1, 0)) Codec    
-train_RGB.py: Training code of RGB 444 format residual image with MSE loss
-train_RGB_MS-SSIMloss.py: Training code of RGB 444 format residual image with MS-SSIM loss
-train_YCbCr.py: Training code of YCbCr 444 format residual image with MSE loss
+train_RGB.py: Training code of RGB 444 format residual image with MSE loss      
+train_RGB_MS-SSIMloss.py: Training code of RGB 444 format residual image with MS-SSIM loss      
+train_YCbCr.py: Training code of YCbCr 444 format residual image with MSE loss      
 
 명령어
 ```python