Singular Value Decomposition Based Sub-band Decomposition and Multi-resolution (SVD-SBD-MRR) Representation of Digital Colour Images

被引：0
|
作者：
Singh, Satish Kumar [1 ]
Kumar, Shishir [2 ]
机构：
[1] Jaypee Univ Engn & Technol, Dept Elect & Commun Engn, AB Rd Raghogarh, Guna 473226, Madhya Pradesh, India
[2] Jaypee Univ Engn & Technol, Dept Comp Sci & Engn, Guna 473226, Madhya Pradesh, India
来源：
PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY | 2011年 / 19卷 / 02期
关键词：
Image representation; subband decomposition; multiresolution representation; compression;
D O I：
暂无
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Contemporary digital image processing applications require a suitable tool for further applications and processing. In this paper, a Singular Value Decomposition (SVD) based new sub-band decomposition and multi-resolution representation of digital colour images is proposed. Simulation was performed using MATLAB on Lenna image and the resultant sub-bands, which contained different directional details, are shown. Through a quantitative analysis, it is justified that the proposed method is better than other contemporary methods as it is suitable for compression and other image processing applications.
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页码：229 / 235
页数：7
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