Lapped multiple bases realizations for the transform coding of still images

Author

DeBrunner, Victor ; Chen, Lixiang ; Li, Hongjian

Author_Institution

Sch. of Electr. Eng., Oklahoma Univ., Norman, OK, USA

Volume

2

fYear

1994

fDate

31 Oct-2 Nov 1994

Firstpage

943

Abstract

We describe a system for still image compression which uses several lapped orthogonal transform (LOT) sets in a multiple bases realization algorithm, the recursive residual projection (RRP) algorithm. Newly developed RRP algorithms are shown to reduce the number of encoded transform coefficients 20% beyond the DCT-only compression standard, JPEG. These algorithms still suffer from the problem of block-discontinuities at the boundaries of the segmented image. We extend these algorithms to use several newly developed LOT bases. Fast hardware implementations of these algorithms are presented

Keywords

block codes; data compression; discrete cosine transforms; image coding; image segmentation; recursive functions; transform coding; DCT-only compression standard; JPEG; block-discontinuities; encoded transform coefficients; fast hardware; image compression; lapped multiple bases; lapped orthogonal transform; recursive residual projection algorithm; segmented image; still images; transform coding; Block codes; Hardware; Image coding; Image reconstruction; Image segmentation; Pixel; Speech; Standards development; Tiles; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-6405-3

Type

conf

DOI

10.1109/ACSSC.1994.471599

Filename

471599