Title
An efficient structure and algorithm for image representation using nonorthogonal basis images
Keywords
Mixed transforms; Nonorthogonal representation; Transform coding
Abstract
This paper presents a new recursive parallel mixed transform technique employing a projection algorithm for image representation. Image coders which employ subsets of nonorthogonal basis images chosen from two or more transform domains have been shown to consistently yield higher image quality than those based on one transform for a fixed compression ratio. However, these techniques have not been widely employed since existing formulations have either lacked rigorous development or suffered from high computational complexity and convergence problems. The algorithm presented herein overcomes these limitations. The algorithm is rigorously formulated, conditions for convergence are derived, and computational considerations are examined. Results of simulations are presented which demonstrate excellent performance in terms of energy compaction. © 1997 IEEE.
Publication Date
12-1-1997
Publication Title
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Volume
44
Issue
10
Number of Pages
818-828
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/82.633439
Copyright Status
Unknown
Socpus ID
0031259282 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0031259282
STARS Citation
Berg, Albert P. and Mikhael, Wasfy B., "An efficient structure and algorithm for image representation using nonorthogonal basis images" (1997). Scopus Export 1990s. 3140.
https://stars.library.ucf.edu/scopus1990/3140