Image Quality Assessment Based on Structure and Edge Similarity
The quality assessment of images is of fundamental importance for most image applications. Structural similarity measure (SSIM) has been widely used which is very easy to calculate but it has been proved not so good In some cases such as Gaussian noise image and blurred image. In this paper we present a novel objective image quality index which is also very easy to calculate and applicable to various image processing applications. To accord with human visual characteristics, we introduce weight based on edge image of the reference, and calculate the whole index based on edge structure similarity. Experiments demonstrate that the new assessment maintains better consistency with human subjective perception for wider kinds of images.
image quality assessment structure similarity edge similarity
Liu Junyao Wang Huijing
Department of Computer Application, Shenzhen Institute of Information Technology Shenzhen,Guangdong,518029, China
国际会议
深圳
英文
1105-1108
2011-03-28(万方平台首次上网日期,不代表论文的发表时间)