计算机技术与发展Issue(1)：226-229,4.DOI:10.3969/j.issn.1673-629X.2015.01.51
一种基于视觉注意模型的SSIM改进方法
An Improved Method of SSIM Based on Visual Attention Model
摘要
Abstract
Image quality assessment is a hot research topic in the field of image processing. In this paper,the study of the visual attention mechanism is introduced into the image quality assessment through combination of visual attention model into SSIM,trying to obtain bet-ter evaluation result. The new method uses Itti visual attention model to extract saliency map,then determines local weights with the theo-ry of MMTD,in the process of evaluation of salient area for a higher weight. The experiment results show that MMTD-SSIM algorithm is more accurate and effective than SSIM in the image quality assessment of image with outstanding region of interest,and more close to the human visual subjective assessment.关键词
图像质量评价/视觉注意模型/显著图/结构相似度/中介真值程度Key words
Image Quality Assessment(IQA)/visual attention model/saliency map/Structural Similarity Image Measurement(SSIM)/Measure of Medium Truth Degree(MMTD)分类
信息技术与安全科学引用本文复制引用
安军,周宁宁..一种基于视觉注意模型的SSIM改进方法[J].计算机技术与发展,2015,(1):226-229,4.基金项目
国家自然科学基金资助项目(61170322) （61170322）
