计算机工程2011，Vol.37Issue(9)：229-230,233,3.DOI:10.3969/j.issn.1000-3428.2011.09.080
基于DCT系数误差的图像质量评价模型
Image Quality Assessment Model Based on DCT Coefficient Error
摘要
Abstract
Based on the Human Visual System(HVS) with different sensitivities in the frequency domain, this paper presents an image quality assessment model. Discrete Cosine Transform(DCT) coefficients are divided into low and high frequency components. Distortion of low frequency is showed by absolute square sum of low frequency error, but distortion of high frequency is showed by relative square sum of high frequency error.The product of two distortion is adopted as objective evaluation of quality. The model is validated with Differential Mean Opinion Score(DMOS) on LIVE database. Experimental results show that the performance of this method is superior to the algorithms of Peak Signal to Noise Ratio(PSNR) and Structural SIMilarity(SSIM).关键词
图像质量评价/离散余弦变换/感觉容量/线性相关系数Key words
image quality assessment/ Discrete Cosine Transform(DCT)/ Sense Capacity(SC)/ linearity correlation coefficient分类
信息技术与安全科学引用本文复制引用
郑江云,江巨浪,李强..基于DCT系数误差的图像质量评价模型[J].计算机工程,2011,37(9):229-230,233,3.基金项目
安徽省自然科学基金资助项目(090412065) （090412065）
安徽高等学校省级自然科学研究基金资助项目(KJ2009B123) （KJ2009B123）
