A survey of image quality measures

TLDR

Image quality assessment is a challenging field in digital image processing, where subjective and objective methods exist but PSNR, though popular, poorly correlates with human perception, prompting the development of many alternative metrics. The paper reviews subjective and objective image quality measures and aims to collect and categorize reported metrics by strategy and technique. The study surveys existing image quality metrics, compiling and grouping them by strategy and technique.

Abstract

Image quality assessment is one of the challenging field of digital image processing system. It can be done subjectively or objectively. PSNR is the most popular and widely used objective image quality metric but it is not correlate well with the subjective assessment. Thus, there are a lot of objective image quality metrics (IQM) developed in the past few decades to replace PSNR. This paper provides a literature review of the current subjective and objective image quality measures. The purpose of this paper is to collect reported quality metrics and group them according to their strategies and techniques.