学术论文

      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:
      图像质量评价算法是图像处理研究中的基本问题.深入讨论图像奇异值分解的性质及基于结构相似性的图像质量评价框架,从理论和实验两方面指出两类算法存在错误评价的问题,并从结构相似的观点出发解释了基于奇异值分解的图像质量评价算法,提出了改进算法的思路.
      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.
      Author: Liu Dajin Ye Jianbing Liu Jiajun
      作者单位: 南京理工大学泰州科技学院,江苏泰州,225300
      年,卷(期): 2017, 40(1)
      分类号: TP391.41
      在线出版日期: 2017年6月2日
      基金项目: 江苏省高校自然科学研究面上项目