Compare of modified burrows wheeler transform with JPEG and JPEG2000 for image compression

被引：0

作者：

Shabani, Sonia ^{[1
]}

Zolghadrasli, Alireza ^{[2
]}

机构：

[1] Shiraz Univ, Sch Elect & Compt Engn, Dpt Elect Comm Engn, Shiraz, Iran

[2] Shiraz Univ, Sch Elect & Comp Engn, Dept Elect & Comm Engn, Shiraz, Iran

来源：

2012 INTERNATIONAL WORKSHOP ON IMAGE PROCESSING AND OPTICAL ENGINEERING | 2012年 / 8335卷

关键词：

Burrows Wheeler Transform; discrete wavelet transform and Image compression;

D O I：

10.1117/12.918027

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 research we present a new method for image compression which is a combination of lossy and lossless image coder. In lossy part we use a 3-level decomposition of discrete wavelet transform with hard threshold technique. lossless image coding part is Burrows Wheeler Transform (BWT) which has received considerable attention in recent years because of its simplicity and effectiveness. The BWT is used with other additional methods of image compression such as, MTF, RLE and entropy coding algorithms. the effectiveness of over method is presented and compare with JPEG and JPEG2000 for different images concidering criteria such as PSNR, Compression Ratio (CR) and images quality(HVS) in our future works we use BWT with other source coding algorithm such as Lempel-Ziv and different mother function for DWT.

引用

页数：8

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