Lapped multiple bases realizations for the transform coding of still images

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%...

Full description

Saved in:
Bibliographic Details
Main Authors: DeBrunner, V., Lixiang Chen, Hongjian Li
Format: Conference Proceeding
Language:English
Subjects:
Block codes
Hardware
Image coding
Image reconstruction
Image segmentation
Pixel
Speech
Standards development
Tiles
Transform coding
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.< >
ISSN:1058-6393
2576-2303
DOI:10.1109/ACSSC.1994.471599