摘要
本文利用超复数直接对彩色图像建模,保存了彩色图像完整的信息;基于超复数奇异值分解(也称四元数奇异值分解QSVD)提出一种全新的图形化与数值化相结合的彩色图像质量评估测度,不仅能判断图像失真等级,还能判断不同的失真类型.测试结果表明,本文提出的算法比传统的MSE、PSNR以及MSSIM等算法性能更优.
We employ hypercomplex to describe a color image directly so that all information of the color image can be modeled. Based on hypercomplex singular value decomposition also called quaternion singular value decomposition （QSVD）, we present a novel color image quality measure that can be used as a graphical or a scalar measure to predict the distortion introduced by a wide range of noise sources. It reliably measures the distortion not only within a distortion type at different distortion levels, but also across different distortion types. We compare its performance with MSE,PSNR and MSSIM,the test results show that QSVD performs better.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2007年第1期28-33,共6页
Acta Electronica Sinica
基金
国家自然科学基金(No.60572023)
国家973重点基础研究发展规划(No.2006CB705700)
