Title

Multiple Non-Orthogonal Bases Representations For Images

Abstract

Conventional image compression techniques usually involve use of a single transform in conjunction with other techniques like Vector Quantization etc. In this paper, the concept of using more than one transform, i.e, using multiple non-orthogonal bases functions representation, for still image compression, is presented. Sample results show that this approach used in conjunction with an efficient vector quantization technique - an adaptive energy based split vector quantization technique, gives improved reconstruction quality of images for the same bit rate compared to existing single transform methods. © 2004 IEEE.

Publication Date

12-1-2004

Publication Title

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volume

2

Number of Pages

1545-1548

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

21644448078 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/21644448078

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