IMAGE COMPRESSION USING WAVELET TRANSFORM WITH LIFTING SCHEME AND SPIHT IN DIGITAL CAMERAS FOR BAYER CFA

被引：0

作者：

Xie, Song-Zhao ^{[1
]}

Wang, Cheng-You ^{[1
]}

Yang, Zhi-Qiang ^{[1
]}

机构：

[1] Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China

来源：

2013 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION (ICWAPR) | 2013年

关键词：

Image compression; Wavelet transform; Color filter array (CFA); Set partitioning in hierarchical trees (SPIHT); Color space conversion; Lifting scheme;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to avoid data redundancy, many methods of compressing Bayer images before interpolation were proposed. Structure conversion presented by Koh has been an effective method for Bayer patterned images to improve the compression quality. On this basis, Xie proposed an improved structure conversion algorithm to further improve the compression performance. Combining the improved structure conversion using 917 wavelet transform with lifting scheme and set partitioning in hierarchical trees (SPIHT) algorithm, this paper proposes an efficient method in digital cameras with color filter array (CFA). Experimental results show that the proposed algorithm outperforms the improved structure conversion algorithm both in objective and subjective aspects.

引用

页码：163 / 167

页数：5

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