Title

Application Of Multitransforms For Lossy Image Representation

Abstract

The multitransform technique is applied for lossy image representation. The image is first divided into smaller non-overlapping subimages. Each subimage is resolved into two dimensional (2-D) subsignals, which are then compactly represented in a particular transform domain. This leads to an efficient representation of the subimage by superimposing the dominant coefficients corresponding to each subsignal. An adaptive algorithm in conjunction with an optimization strategy are developed to minimize the difference between the original and the reconstructed subimage. Extensive simulations verify that, for a given number of retained coefficients, the combination of the DCT and Haar transforms yields a more compact representation than using DCT or Haar alone. © 1994 IEEE

Publication Date

1-1-1994

Publication Title

IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing

Volume

41

Issue

6

Number of Pages

431-434

Document Type

Article

Identifier

scopus

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/82.300208

Socpus ID

0028445768 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0028445768

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