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REFERENCE NEIGHBOURHOOD SEARCH (RNS) AND ITS APPLICATION IN IMAGE CODING

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

A new searching algorithm, Reference Neighbourhood Search (RNS), is proposed to improve the decoding time so that only a small number of distance calculations are needed to locate the closest codeword in a codebook and, at the same time, preserve a good image quality. The performance of RNS in simulated known data models and practical images is discussed and analyzed. It is found that the proposed algorithm gives a good trade-off on both efficiency and effectiveness in image coding.
Original languageEnglish
Title of host publicationInternational Conference on Speech, Image Processing and Neural Networks
Subtitle of host publicationProceedings of ICSIPNN '94.
PublisherIEEE
Pages184-188
ISBN (Print)0-7803-1865-X, 978-078031865-6
DOIs
Publication statusPublished - Apr 1994
Event1994 International Symposium on Speech, Image Processing and Neural Networks (ISSIPNN 1994) - Hong Kong, China
Duration: 13 Apr 199416 Apr 1994

Publication series

NameISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings

Conference

Conference1994 International Symposium on Speech, Image Processing and Neural Networks (ISSIPNN 1994)
PlaceChina
CityHong Kong
Period13/04/9416/04/94

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