R-D quantisation of complex coefficients in zerotree coding

Author

Reeves, H. ; Kingsbury, N.G.

Author_Institution

Dept. of Eng., Cambridge Univ., UK

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

480

Lastpage

483

Abstract

This paper describes a rate-distortion (R-D) optimal scheme for bit-plane based quantisation of complex coefficients, which is suitable for zerotree image coding systems. Most zerotree-type image codecs operate on real-valued wavelet coefficients. The dual-tree complex wavelet transform, which has several advantages over the discrete wavelet transform, produces complex coefficients. Our scheme offers progressive bit-by-bit refinement of coefficient magnitude and phase values. It ensures that refinement decisions always maximise the expected distortion decrease

Keywords

data compression; image coding; optimisation; quantisation (signal); rate distortion theory; transform coding; trees (mathematics); wavelet transforms; R-D quantisation; bit-plane based quantisation; coefficient magnitude; coefficient phase; complex coefficients; dual-tree complex wavelet transform; image compression; progressive bit-by-bit refinement; rate-distortion optimal scheme; zerotree image coding; zerotree-type image codecs; Codecs; Discrete wavelet transforms; Gabor filters; Image coding; Nonlinear filters; Quantization; Rate-distortion; Signal processing; Wavelet coefficients; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on

Print_ISBN

0-7803-7011-2

Type

conf

DOI

10.1109/SSP.2001.955327

Filename

955327