Perceptual quality assessment plays a vital role in the visual communication systems owing to the existence of quality degradations introduced in various stages of visual signal acquisition, compression, transmission and display. Quality assessment for visual signals can be performed subjectively and objectively, and objective quality assessment is usually preferred owing to its high efficiency and easy deployment. A large number of subjective and objective visual quality assessment studies have been conducted during recent years. In this survey, we give an up-to-date and comprehensive review of these studies. Specifically, the frequently used subjective image quality assessment databases are first reviewed, as they serve as the validation set for the objective measures. Second, the objective image quality assessment measures are classified and reviewed according to the applications and the methodologies utilized in the quality measures. Third, the performances of the state-of-the-art quality measures for visual signals are compared with an introduction of the evaluation protocols. This survey provides a general overview of classical algorithms and recent progresses in the field of perceptual image quality assessment.

由于在视觉信号获取，压缩，传输和显示的各个阶段中引入的质量下降，感知质量评估在视觉通信系统中起着至关重要的作用。视觉信号的质量评估可以主观和客观地进行，客观的质量评估通常是首选，因为它的效率高且易于部署。近年来，已经进行了大量的主观和客观视觉质量评估研究。在这项调查中，我们对这些研究进行了最新和全面的审查。具体来说，首先对常用的主观图像质量评估数据库进行审查，因为它们可以用作客观测量的验证集。第二，客观图像质量评估措施根据质量措施中的应用和方法进行分类和审查。第三，将视觉信号的最新质量度量的性能与评估协议的介绍进行了比较。这项调查概述了经典算法，以及在感知图像质量评估领域的最新进展。