An adaptive decimation and interpolation scheme for low complexity image compression

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Pages (from-to)391-401
Journal / PublicationSignal Processing
Volume65
Issue number3
Publication statusPublished - 31 Mar 1998

Abstract

In this paper, a low complexity image compression scheme based on adaptive decimation is reported. Reconstruction of the encoded image is performed with a two-dimensional adaptive interpolation algorithm which is capable of maintaining a reasonable coding fidelity, as well as a smooth and natural visual effect for the object contours contained in the picture. The method involves only small amount of computation and can be implemented to operate in real time with simple hardware and small amount of memory storage. Results obtained by applying the proposed scheme in encoding images at low bit-rates of around 0.3 bpp are presented to demonstrate the feasibility of the approach and its potential in practical applications. © 1998 Elsevier Science B.V. All rights reserved.

Research Area(s)

  • Adaptive decimation and interpolation, Adaptive interpolative vector quantization, Blocking effect

Citation Format(s)

An adaptive decimation and interpolation scheme for low complexity image compression. / Tsang, P. W M; Lee, W. T.

In: Signal Processing, Vol. 65, No. 3, 31.03.1998, p. 391-401.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review