An adaptive pattern based image coding technique using visual pattern and texture pattern

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

3 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages180-183
ISBN (Print)078031865, 9780780318656
Publication statusPublished - 1994

Publication series

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

Conference

Title1994 International Symposium on Speech, Image Processing and Neural Networks, ISSIPNN 1994
PlaceHong Kong
CityHong Kong
Period13 - 16 April 1994

Abstract

VPIC (visual pattern image coding) and AMBTC (absolute moment block truncation coding) with LUT (look up table) are integrated to form a simple and fast system which yields images with very good visual quality while at moderately high compression rate. The VPs (visual patterns) are designed for subimages with prominent edges, while TPs (texture patterns) used in AMBTC are for high variance blocks. All patterns are 4×4 and the mapping to VPs or TPs is adaptive, based on mean square error. To further improve the visual quality, these patterns are further classified, and then trained iteratively to multi-level.

Bibliographic Note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to lbscholars@cityu.edu.hk.

Citation Format(s)

An adaptive pattern based image coding technique using visual pattern and texture pattern. / Chan, K. W.; Chan, K. L.
ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings. Institute of Electrical and Electronics Engineers Inc., 1994. p. 180-183 344937 (ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings).

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