Quaternion-Based Impulse Noise Removal from Color Video Sequences

被引:31
|
作者
Jin, Lianghai [1 ]
Liu, Hong [1 ]
Xu, Xiangyang [1 ]
Song, Enmin [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
Color images; filters; impulse noise; motion estimation; quaternions; vector processing; video denoising; MEDIAN FILTER; DENOISING ALGORITHM; IMAGE; DETECTOR;
D O I
10.1109/TCSVT.2012.2207272
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, a new quaternion vector filter for removal of random impulse noise in color video sequences is presented. First, luminance distances and chromaticity differences that are represented in quaternion form are combined together to measure color distances between color pixels. Then, based on this new color distance mechanism, the samples along horizontal, vertical, and diagonal directions in current frame and the samples of adjacent frames on motion trajectory are used to detect whether each pixel is noisy or not. By analyzing the spatiotemporal order-statistic information about these directional samples, the video pixels are classified into noise free and noisy. Finally, 3-D weighted vector median filtering is performed on the pixels that are judged as noisy, and the other pixels remain unchanged. The experimental results show that the proposed algorithm significantly outperforms other state-of-the-art video denoising methods in terms of both objective measure and visual evaluation.
引用
收藏
页码:741 / 755
页数:15
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