Enhanced zerotree wavelet transform image coding exploiting similarities inside subbands

Author

Barreto, Cesar S. ; Mendonça, Gelson V.

Author_Institution

Inst. de Pesquisas da Marinha, Rio de Janeiro, Brazil

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

549

Abstract

This work presents a method for wavelet image coding employing similarity between and within subbands to increase the efficiency of data compression. This method is based on zerotrees of successive-approximation quantization of wavelet coefficients and arithmetic coding, with distinct coefficient scanning directions, variable maximum histogram frequency count and new coding conditioning. For coding 256×256 and 512×512 Lena test images, the PSNR results are, respectively, 37.43 and 40.24 dB, at 1 bit/pixel, which compare with the highest reported compression ratios

Keywords

arithmetic codes; data compression; image coding; transform coding; wavelet transforms; 256 pixel; 262144 pixel; 512 pixel; 65536 pixel; EZW coding; Lena test images; PSNR results; arithmetic coding; coding conditioning; coefficient scanning directions; data compression; embedded zerotree wavelet coding; enhanced zerotree wavelet transform image coding; similarity; subbands; successive-approximation quantization; variable maximum histogram frequency count; Arithmetic; Data compression; Frequency; Histograms; Image coding; PSNR; Quantization; Testing; Wavelet coefficients; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560915

Filename

560915