Image Quality Metrics: PSNR vs. SSIM 论文

2010引用 4384
Image and Video Quality AssessmentImage and Signal Denoising MethodsAdvanced Image Processing Techniques

详细信息

发表日期
2010-08-01
发表年份
2010

关键词

Image and Video Quality AssessmentImage and Signal Denoising MethodsAdvanced Image Processing Techniques

摘要

In this paper, we analyse two well-known objective image quality metrics, the peak-signal-to-noise ratio (PSNR) as well as the structural similarity index measure (SSIM), and we derive a simple mathematical relationship between them which works for various kinds of image degradations such as Gaussian blur, additive Gaussian white noise, jpeg and jpeg2000 compression. A series of tests realized on images extracted from the Kodak database gives a better understanding of the similarity and difference between the SSIM and the PSNR.