安庆师范学院学报（自然科学版）Issue(3)：74-77,4.
基于注意力选择与感觉容量的图像质量评价算法
An Algorithm of Image Quality Assessment Based on Attention Selection and Sense Capacity
摘要
Abstract
Image quality assessment simulates human subjective opinion with calculated model. Based on different sensitivities in the frequency domain and attention selection of human visual system (HVS), a new algorithm of image quality assessment is proposed. First, high and low frequency signals of image are expressed by coefficients of visual saliency map and wavelet approxi-mation coefficients. Then, low frequency error and high frequency error are calculated by different means, the product of two errors is adopted as objective evaluation of quality. The new method is validated with subjective quality scores on LIVE database, linear correlation coefficient reaches 0. 9064. Experimental results show that the performance of the new method is superior to the algo-rithms of PSNR and SSIM.关键词
图像质量评价/注意力选择/感觉容量/视觉显著图(VSM)Key words
image quality assessment/attention selection/sense capacity/visual saliency map(VSM)分类
信息技术与安全科学引用本文复制引用
郑江云..基于注意力选择与感觉容量的图像质量评价算法[J].安庆师范学院学报（自然科学版）,2014,(3):74-77,4.基金项目
安徽省高等学校省级自然科学研究基金重点项目(KJ2010A226)资助。 （KJ2010A226）
