Constrained optimization of filter banks in subband image coding

Author

Wang, Tao ; Wah, Benjamin W.

Author_Institution

Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA

fYear

1998

fDate

7-9 Dec 1998

Firstpage

432

Lastpage

437

Abstract

The design of filter banks in subband image coding is critical for achieving high image quality. In this paper, we study the design from both the signal processing domain and the theory of wavelets. We formulate the design of filter banks as a two-stage nonlinear constrained optimization problem, each of which is solved by sequential quadratic programming (SQP). Using a wavelet image coding prototype, we show improved quality of the designed filter banks in terms of image compression and peak signal-to-noise ratios (PSNRs)

Keywords

channel bank filters; constraint theory; image coding; quadratic programming; transform coding; wavelet transforms; PSNR; filter banks design; high image quality; image compression; peak signal-to-noise ratio; sequential quadratic programming; signal processing domain; subband image coding; two-stage nonlinear constrained optimization problem; wavelet image coding; wavelets; Constraint optimization; Design optimization; Filter bank; Image coding; Image quality; PSNR; Quadratic programming; Signal design; Signal processing; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 1998 IEEE Second Workshop on

Conference_Location

Redondo Beach, CA

Print_ISBN

0-7803-4919-9

Type

conf

DOI

10.1109/MMSP.1998.738980

Filename

738980