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Proceedings Paper

Comparison of modified burrows wheeler transform with JPEG and JPEG2000 for image compression
Author(s): Sonia Shabani; Alireza Zolghadrasli
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Paper Abstract

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.

Paper Details

Date Published: 15 November 2011
PDF: 8 pages
Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83351D (15 November 2011); doi: 10.1117/12.918027
Show Author Affiliations
Sonia Shabani, Shiraz Univ. (Iran, Islamic Republic of)
Alireza Zolghadrasli, Shiraz Univ. (Iran, Islamic Republic of)

Published in SPIE Proceedings Vol. 8335:
2012 International Workshop on Image Processing and Optical Engineering
Hai Guo; Qun Ding, Editor(s)

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