저 우 왕 SSIM matlab codewith K1 = 0.01, K2 = 0.03 및 windows 이후 합계 영역 테이블을 사용 하 여 빠른 구현 수 있습니다 ones(8) =. 측정값에서 설명 하는 "이미지 품질 평가: 구조적 유사성을 오류 측정에서"는 원래 마음에 ICC와 가능한 벡터화 된 범용 이미지 품질 indexcode 작성에 대 한 matlab 코드에서 적응, 추가 제한 및 벡터 맞춤 pragma 분명히 모든 루프는 너무 어려운(translate from):the equivalent of Zhou Wang's SSIM matlab code with K1 = 0.01, K2 = 0.03 and windows = ones(8) since this enables a fast implementation using summed area tables. the measure is described in "Image quality assessment: From error measurement to structural similarity" was originally adapted from the matlab code for the universal image quality index code was written with possible vectorization with ICC in mind, add restricts and vector alignment pragmas apparently all the loops are too hard for ICC to grok though, so it will need to be done manually




File list:
SSIMSrc-0.24
...........\bin
...........\...\SSIM.dll
...........\res
...........\...\SSIM.rc2
...........\.DS_Store
...........\avisynth.h
...........\info.h
...........\Resource.h
...........\SSIM.cpp
...........\SSIM.h
...........\SSIM.rc
...........\SSIM.sln
...........\SSIM.suo
...........\SSIM.vcproj
__MACOSX
.......\SSIMSrc-0.24
.......\............\._.DS_Store