Compactly merged arithmetic for wavelet transforms

Author

Choe, Gwangwoo ; Swartzlander, Earl E.

Author_Institution

Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA

fYear

1998

fDate

8-10 Oct 1998

Firstpage

479

Lastpage

488

Abstract

A new form of merged arithmetic is presented to compute wavelet transforms for image compression. Our approach is suitable for a wavelet-specific processor, which offers high-performance for image compression with wavelet transforms. This arithmetic is a compact form of merged arithmetic that is specifically optimized for the wavelet transform by eliminating bit-products, thus reducing the size of reduction. It develops a dual merging process to segregate the positive filter coefficients from the negative ones. Furthermore, it utilizes the bitmaps of the filter coefficients, fixed for a specific wavelet filter, and offers superior performance in both speed and size. Employing pipeline techniques, this approach provides an attractive circuit for the wavelet method of image compression

Keywords

data compression; digital arithmetic; filtering theory; image coding; optimisation; wavelet transforms; bitmaps; compactly merged arithmetic; dual merging process; filter coefficients; image compression; optimization; pipeline techniques; wavelet transforms; wavelet-specific processor; Arithmetic; Circuits; Concurrent computing; Digital arithmetic; Discrete wavelet transforms; Filters; Finite impulse response filter; Image coding; Merging; Pipelines; Wavelet analysis; Wavelet coefficients; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Systems, 1998. SIPS 98. 1998 IEEE Workshop on

Conference_Location

Cambridge, MA

ISSN

1520-6130

Print_ISBN

0-7803-4997-0

Type

conf

DOI

10.1109/SIPS.1998.715810

Filename

715810