模糊失真图像无参考质量评价综述EI北大核心CSCD

图像的模糊问题影响人们对信息的感知、获取及图像的后续处理.无参考模糊图像质量评价是该问题的主要研究方向之一.本文分析了近20年来无参考模糊图像质量评价相关技术的发展.首先,本文结合主要数据集对图像模糊失真进行分类说明;其次,对主要的无参考模糊图像质量评价方法进行分类介绍与详细分析;随后,介绍了用来比较无参考模糊图像质量评价方法性能优劣的主要评价指标;接着,选择典型数据集及评价指标,并采用常见的无参考模糊图像质量评价方法进行性能比较;最后,对无参考模糊图像质量评价的相关技术及发展趋势进行总结与展望.

A Review on No-reference Quality Assessment for Blurred Image

The blurriness distortion of image affects information perception, acquisition and subsequent processing. No-reference blurred image quality assessment is one of main research directions for the problem. This paper analyzes the relevant technique development of no-reference blurred image quality assessment in recent 20 years. Firstly, combining with main databases, different types of blurriness distortions are described. Secondly, main methods for no-reference blurred image quality assessment are classified and analyzed in detail. Thirdly, performance measures for no-reference blurred image assessment are introduced. Then, the typical databases, performance measures and methods are introduced for performance comparisons. Finally, the relevant technologies and development trends of no-reference blurred image assessment are summarized and prospected.