Two-dimensional dyadic subband tree modeling with embedded quantizers

Author

Choi, Ginkyu ; Haddad, R.A.

Author_Institution

Dept. of Electr. Eng., Polytechnic Univ., Brooklyn, NY, USA

Volume

2

fYear

1995

fDate

Oct. 30 1995-Nov. 1 1995

Firstpage

1025

Abstract

We represent the effects of scalar quantization by a nonlinear gain-plus-additive-noise model for the PDF-optimized quantizer in a 2-D dyadic subband tree structure. Based on the equivalent models and the polyphase decomposition approach, we compute the complete mean square error (MSE) using cyclostationary concepts. Then, the optimal filter coefficients satisfying paraunitary or biorthogonal conditions, bit allocations and compensation vectors are obtained such that the above MSE is minimized. This design procedure is then used in compressing the Lena image.

Keywords

data compression; 2D dyadic subband tree modeling; Lena image; MSE; PDF optimized quantizer; biorthogonal conditions; bit allocations; compensation vectors; cyclostationary concepts; design procedure; embedded quantizers; equivalent models; filter banks; image compression; mean square error; nonlinear gain-plus-additive-noise model; optimal filter coefficients; paraunitary conditions; polyphase decomposition; scalar quantization; separable FIR filter; two-dimensional dyadic subband tree modeling; Bit rate; Delay; Electronic mail; Filter bank; Finite impulse response filter; Image coding; Integrated circuit noise; Mean square error methods; Quantization; Tree data structures;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-7370-2

Type

conf

DOI

10.1109/ACSSC.1995.540855

Filename

540855