Update README.md

@@ -71,7 +71,8 @@ Performance Test
 ##### MS-SSIM (multi-scale Structural SIMilarity)
 구조적 유사도 지수
 ##### BPP
-(#압축에 사용된 전체 Bit 수) / (#전체 화소수) 
+(#압축에 사용된 전체 Bit 수) / (#전체 화소수)       
+
   MSE Curve  |  MS-SSIM Curve
 :-------------------------:|:-------------------------:
 ![anchor_curve](./Image/RD_curve.PNG)  |  ![ms-ssim_curve](./Image/RD_curve_msssim.PNG)
@@ -88,26 +89,27 @@ Code explanation
 ```
 .
 ├── README.md
-├── Our Encoder
-|   ├── codec_allIntra.py
-|   ├── codec_proposed.py
-|   ├── codec_anotherMethod.py
-|   ├── train_RGB.py
-|   ├── train_RGB_MS-SSIMloss.py
-|   └── train_YCbCr.py
-├── PostProcessing
-|   ├── get_BPP.m
-|   ├── get_PSNR_and_BPP manual.docx
-|   ├── png_to_rgb.m
-|   └── PostProcessing.m
-├── PreProcessing
-|   ├── frame_to_png.m
-|   ├── MakeBat.m
-|   ├── RGB Crop(ffmpeg) manual.docx
-|   ├── rgb_to_frame.m
-|   └── rgb_to_png.m
-├── 영상 주관적 화질평가
-|   └── pYUV manual.docx
+├── source code
+|   ├── Our Encoder
+|   |   ├── codec_allIntra.py
+|   |   ├── codec_proposed.py
+|   |   ├── codec_anotherMethod.py
+|   |   ├── train_RGB.py
+|   |   ├── train_RGB_MS-SSIMloss.py
+|   |   └── train_YCbCr.py
+|   ├── PostProcessing
+|   |   ├── get_BPP.m
+|   |   ├── get_PSNR_and_BPP manual.docx
+|   |   ├── png_to_rgb.m
+|   |   └── PostProcessing.m
+|   ├── PreProcessing
+|   |   ├── frame_to_png.m
+|   |   ├── MakeBat.m
+|   |   ├── RGB Crop(ffmpeg) manual.docx
+|   |   ├── rgb_to_frame.m
+|   |   └── rgb_to_png.m
+|   └── 영상 주관적 화질평가
+|       └── pYUV manual.docx
 ├── 면담발표
 |   └── ...
 ├── 면담보고서
@@ -132,7 +134,7 @@ PostProcessing: HEVC 또는 VVC에서 Decoding된 영상(10bit, BGR)을 8it, RGB
 
 #### Our Codec
 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_RA(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