On the relationship between SSIM and PSNR for DCT-based compressed
images and video: SSIM as content-aware PSNR
Abstract
The aim of this paper is to show how the structural similarity metric
SSIM for image quality assessment can be seen in many cases, such as
DCT-based compressed images and video, as a content-aware version of the
peak signal-to-noise ratio (PSNR). In fact, under some assumptions
described in the paper, the first can be derived directly from the
latter based on a single content-dependent parameter, i.e. the variance
of the image / video frame.