加入收藏 | 设为首页 | 会员中心 | 我要投稿 李大同 (https://www.lidatong.com.cn/)- 科技、建站、经验、云计算、5G、大数据,站长网!
当前位置: 首页 > 大数据 > 正文

图像质量评价与结构相似性指标

发布时间:2020-12-14 03:27:33 所属栏目:大数据 来源:网络整理
导读:https://zh.wikipedia.org/wiki/%E7%B5%90%E6%A7%8B%E7%9B%B8%E4%BC%BC%E6%80%A7 https://ece.uwaterloo.ca/~z70wang/research/ssim/ The Structural? SIMilarity ?(SSIM) index is a method for measuring the similarity between two images. The SSIM ind

https://zh.wikipedia.org/wiki/%E7%B5%90%E6%A7%8B%E7%9B%B8%E4%BC%BC%E6%80%A7

https://ece.uwaterloo.ca/~z70wang/research/ssim/

The Structural?SIMilarity?(SSIM) index is a method for measuring the similarity between two images. The SSIM index can be viewed as a quality measure of one of the images being compared,provided the other image is regarded as of perfect quality. It is an improved version of the?universal image quality index?proposed before. Detailed description is given in the following paper:

1.??????Z. Wang,?A. C.?Bovik,?H. R. Sheikh?and?E. P.?Simoncelli,"Image quality assessment: From error visibility to structural similarity,"?IEEE Transactions on Image Processing,?vol. 13,no. 4,pp. 600-612,Apr. 2004.


这篇论文引用15000多以上,在评价图像是否被改变上,非常重要的文章。

(编辑:李大同)

【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容!

    推荐文章
      热点阅读