A survey of image quality measures

作者：Kim‐Han Thung, Raveendran Paramesran · 年份：2009 · DOI：10.1109/techpos.2009.5412098 · 被引用次数：211 · 研究领域：Image and Video Quality Assessment、Image and Signal Denoising Methods、Advanced Image Fusion Techniques

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.