Optimum quantization error feedback filter for wavelet image compression

Author

He, Zhihai ; Mitra, Sanjit K.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA

Volume

3

fYear

2000

fDate

2000

Firstpage

166

Abstract

In wavelet image compression, all information loss occurs during quantization. Based on the property of bi-orthogonal wavelets, optimal 2-D quantization error feedback filters are used to reduce the reconstruction error. With very low complexity with regard to computation and implementation, the error feedback system improves the PSNR of the reconstructed image by about 0.25 dB. In addition, due to its similar structure to the dithered quantizer, it also improves the subjective quality of the reconstructed image by reducing the contouring and ranging effects

Keywords

circuit feedback; data compression; image coding; image reconstruction; quantisation (signal); two-dimensional digital filters; wavelet transforms; 2D error feedback filter; PSNR; bi-orthogonal wavelets; contouring effects reduction; dithering effect; error reconstruction; low complexity; optimum quantization error feedback filter; ranging effects reduction; reconstructed image; subjective quality; wavelet image compression; Computer errors; Digital filters; Feedback loop; Filter bank; Finite impulse response filter; Helium; Image coding; Image reconstruction; PSNR; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.899321

Filename

899321