摘要
在图像质量评价中加入人眼视觉系统特性能够提高其评价性能。S-CIELAB是一个在考虑了人眼视觉系统的空间模糊特性基础上计算彩色图像色差的模型。文章研究了采用S-CIELAB模型来评价图像质量的方法,对JPEG2000压缩图像与原图像失真度的预测结果与视觉评价基本一致。
An image quality evaluation model that considers characteristics of the human visual system should improve its performance, The S-CIELAB model, which takes account of the spatial blurring by human visual system, is used to measure color difference between two color images. In this paper, the S-CIELAB model is studied as an image quality evaluation model, and predicted resuits by the model are consistent with subjective assessment for distortion of JEPEG2000 compressed images.
出处
《云南师范大学学报（自然科学版）》
2006年第5期48-51,共4页
Journal of Yunnan Normal University:Natural Sciences Edition
基金
国家自然科学基金资助项目(60368001)
关键词
人眼视觉系统
色差
彩色图像
质量评价
Human visual system
color difference
color images
quality evaluation
