南京师大学报（自然科学版）2017，Vol.40Issue(1)：73-78,6.DOI:10.3969/j.issn.1001-4616.2017.01.011
SSIM框架下基于SVD的灰度图像质量评价算法研究
SVD-Based Gray-Scale Image Quality Assessment Algorithms in the SSIM Perspective
摘要
Abstract
Image quality assessment is a fundamental problem in the field of image processing.Singular value decomposition properties for images and structural similarity-based image quality assessment are deeply discussed.According to both the theoretical and empirical analysis,the drawbacks of current two categories of algorithms are pointed out.Image quality assessment algorithms that based on singular value decomposition are explained from the perspective of the structural similarity.In addition,possible improvement strategies for the current methods are also discussed.关键词
图像质量评价/奇异值分解/结构相似Key words
image quality assessment/singular value decomposition/structural similarity分类
信息技术与安全科学引用本文复制引用
刘大瑾,叶建兵,刘家骏..SSIM框架下基于SVD的灰度图像质量评价算法研究[J].南京师大学报（自然科学版）,2017,40(1):73-78,6.基金项目
江苏省高校自然科学研究面上项目(14KJD110004). （14KJD110004）
