文件名称：MS-SSIM算法代码
文件大小：464KB
文件格式：RAR
更新时间：2020-12-31 04:32:30
图像质量评价
The structural similarity image quality paradigm is based on the assumption that the human visual system is highly adapted for extracting structural information from the scene, and therefore a measure of structural similarity can provide a good approximation to perceived image quality. This paper proposes a multi-scale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions. We develop an image synthesis method to calibrate the parameters that define the relative importance of different scales. Experimental comparisons demonstrate the effectiveness of the proposed method.
【文件预览】：
03_11_FR_MS_SSIM
----test.m(333B)
----MULTI-SCALE STRUCTURAL SIMILARITY FOR IMAGE QUALITY ASSESSMENT.pdf(484KB)
----总结.docx(0B)
----ssim_index_new.m(2KB)
----ssim_mscale_new.m(2KB)