The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Bookmark and Share
Objective Image Quality Assessment Based on Structure Information and Pixel Distortions
Author(s): 
Pages: 169-174,180
Year: Issue:  1
Journal: Video Engineering

Keyword:  无参考图像质量评价结构信息视觉内容结构图像素失真;
Abstract: 为了度量多种失真类型的图像质量,根据人类视觉系统(HVS)对图像空域结构信息高度敏感和任一类型的失真都会产生像素失真理论,提出一种基于结构信息和像素失真的无参考的质量评价方法.该方法利用色彩信息提取能够表征图像结构信息的视觉内容结构图,并加权像素失真来度量图像质量,同时对部分失真类型进行修正.该方法不涉及任何参数设置也无需训练过程.实验结果表明,该方法能够较好地评价白噪声、JPEG压缩、高斯模糊、JPEG2000压缩和FastFading等失真图像的质量,并与主观评价方法有较好的一致性.
Related Articles
No related articles found