Quaternion Singular Value Decomposition Approach to Color Image De-noising

被引：3
|
作者：
Lei Yin-Jie [1 ]
Chen Cun-Jian [2 ]
Lang Fang-Nian [3 ]
机构：
[1] Sichuan Univ, Sch Elect Informat, Chengdu 610064, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Informat Sci & Tech, Shanghai 200030, Peoples R China
[3] Chongqing Univ, Sch Comp Sci, Chongqing 400044, Peoples R China
来源：
2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8 | 2008年
关键词：
D O I：
10.1109/IJCNN.2008.4633778
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on quaternion, an algorithm for color image de-noising has been proposed in this paper. According to the quaternion singular value decomposition theory, in a color image, the singular values on the diagonal matrix, which were obtained through QSVD, represent the color images in different channels. The additive noise of a color image can be eliminate effectively by keeping the proper singular values, that represent normal image signal, and discarding the noise values. Through the color image energy model, we can reconstruct the image singular values and selectively eliminate the singular values which represent the noise. As the result, the proposed algorithm can de-noise color image rapidly, and also it can be implemented easily in practice. The experiment results prove that the algorithm is correct and the energy model is effective.
引用
收藏
页码：131 / 136
页数：6
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