JPEG Image Quality Assessment Based on Visual Sensitivity
Zhongjun Chen · Jisuanji gongcheng · 2011
This paper presents a visual sensitivity measurement method to assess the visual quality of JPEG images for consistency between image quality assessment without reference image and Human Visual System(HVS) features.Support Vector Regression Neural Network(SVR-NN) is used to approximate the functional relationship between HVS feature and Mean Opinion Score(MOS).The measuring of visual quality of JPEG images is realized using HVS features such as edge amplitude and length,background activity and luminance.Experimental results show that the method has less error,high accuracy,excellent estimation,and exhibits much higher correlation with HVS perception feature.