Study on Compression Method for Noisy Image in Wavelet Domain

Author

Ni, Hongxia ; Li, Yufeng

Author_Institution

Coll. of Electr. & Inf. Eng., Changchun Inst. of Technol., Changchun, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

A noisy image compression coding scheme is presented based on BayesShrink threshold and EZW algorithm. In order to compress the noisy image, the important idea is introduced that is implementing denoising and coding simultaneously. At first, this paper analyzes the noise influence on image compression, and then introduces the quantizer design. Through combining soft-thresholding function with dead-zone quantitative technology, experiment results show that it achieves much better reconstructed image quality in the same compression ratio comparing with the traditional EZW and JPEG coding scheme.

Keywords

data compression; image coding; image denoising; wavelet transforms; BayesShrink threshold algorithm; EZW algorithm; JPEG coding scheme; dead-zone quantitative technology; image denoising; noisy image compression coding scheme; quantizer design; soft-thresholding function; wavelet domain; Bit rate; Image coding; Image reconstruction; Noise reduction; Pollution; Transform coding; Wavelet coefficients; Wavelet domain; Wavelet transforms; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5362773

Filename

5362773