Image Quality Evaluation Based on Human Visual Perception
This paper introduces two concepts of the traditional quality evaluation: the subjective evolution and objective evaluation, and then several kinds of common used human visual perception image quality judgment criterion are introduced, such as: assessing the quality of enhanced images based on human visual perception, image quality assessing model by using neural network and support vector machine, gradient information based image quality assessment, natural image quality assessment metric based on wavelet-based contour-let transform, image quality assessment method based on contrast sensitivity. Some possible development directions are given for the image quality assessment research.
image quality assessment subjective assessment objective assessment visual perception
Fan Zhang Yuli Xu
Institute of Advanced Control and Intelligent Information Processing, Henan University, Kaifeng 4750 College of Computer and Information Engineering, Henan University, Kaifeng, 475001, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
1487-1490
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）