Image Quality Assessment (IQA) is a hot research area in the field of image processing. In this paper, objective and subjective IQA methods are reviewed, and more attention is paid to the former. PSNR and MSE, which are commonly used to assess the quality, are analyzed in detail and their defects are given. The models based on error sensitivity and structure distortion of images are two critical methods in IQA, and the survey presents their key techniques and challenge problems. The reduced reference and no reference methods are also presented in this survey. Based on the number of view, IQA are classified into two major categories, namely, monoscopic image IQA and stereoscopic image IQA. This survey also makes an introduction of the stereoscopic image IQA. Finally, the survey lists several perspective sub-fields and topics in IQA progress.

图像质量评价方法研究进展.pdf

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