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Conference Paper: Designing JPEG quantization matrix using rate-distortion approach and human visual system model

TitleDesigning JPEG quantization matrix using rate-distortion approach and human visual system model
Authors
KeywordsCommunications
Issue Date1997
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104
Citation
Ieee International Conference On Communications, 1997, v. 3, p. 1659-1663 How to Cite?
AbstractJPEG is an international standard for still image compression. The JPEG baseline algorithm allows users to supply the custom quantization table and Huffman table to control the compression ratio and the quality of the encoded image. Methods for determining the quantization matrix are usually based on i) rate-distortion theory and ii) spatial masking effects of the human visual system. In [2], Wu and Gersho proposed a recursive algorithm for generating picture-adaptive quantization tables based on rate-distortion approach but the complexity of the encoding algorithm is rather high. In this paper, we propose improvements to the Wu-Gersho's algorithm and a new bit allocation algorithm. Simulation results show that our new algorithm is superior to the Wu-Gersho's algorithm in terms of speed and peak signal to noise ratio (PSNR). Moreover, by incorporating the Human Visual System (HVS), our proposed coder can encode images with better visual quality.
DescriptionTowards the Knowledge Millennium, IEEE International Conference on Communications Proceedings, Montreal, Canada, 8-12 June 1997
Persistent Identifierhttp://hdl.handle.net/10722/45991
ISSN

 

DC FieldValueLanguage
dc.contributor.authorFong, WCen_HK
dc.contributor.authorChan, SCen_HK
dc.contributor.authorHo, KLen_HK
dc.date.accessioned2007-10-30T06:40:09Z-
dc.date.available2007-10-30T06:40:09Z-
dc.date.issued1997en_HK
dc.identifier.citationIeee International Conference On Communications, 1997, v. 3, p. 1659-1663en_HK
dc.identifier.issn1044-4556en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45991-
dc.descriptionTowards the Knowledge Millennium, IEEE International Conference on Communications Proceedings, Montreal, Canada, 8-12 June 1997-
dc.description.abstractJPEG is an international standard for still image compression. The JPEG baseline algorithm allows users to supply the custom quantization table and Huffman table to control the compression ratio and the quality of the encoded image. Methods for determining the quantization matrix are usually based on i) rate-distortion theory and ii) spatial masking effects of the human visual system. In [2], Wu and Gersho proposed a recursive algorithm for generating picture-adaptive quantization tables based on rate-distortion approach but the complexity of the encoding algorithm is rather high. In this paper, we propose improvements to the Wu-Gersho's algorithm and a new bit allocation algorithm. Simulation results show that our new algorithm is superior to the Wu-Gersho's algorithm in terms of speed and peak signal to noise ratio (PSNR). Moreover, by incorporating the Human Visual System (HVS), our proposed coder can encode images with better visual quality.en_HK
dc.format.extent469522 bytes-
dc.format.extent8028 bytes-
dc.format.extent27162 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104en_HK
dc.relation.ispartofIEEE International Conference on Communicationsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectCommunicationsen_HK
dc.titleDesigning JPEG quantization matrix using rate-distortion approach and human visual system modelen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1044-4556&volume=3&spage=1659&epage=1663&date=1997&atitle=Designing+JPEG+quantization+matrix+using+rate-distortion+approach+and+human+visual+system+modelen_HK
dc.identifier.emailChan, SC:scchan@eee.hku.hken_HK
dc.identifier.emailHo, KL:klho@eee.hku.hken_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.identifier.authorityHo, KL=rp00117en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICC.1997.595069en_HK
dc.identifier.scopuseid_2-s2.0-0030678876en_HK
dc.identifier.hkuros26584-
dc.identifier.volume3en_HK
dc.identifier.spage1659en_HK
dc.identifier.epage1663en_HK
dc.identifier.scopusauthoridFong, WC=7102816054en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridHo, KL=7403581592en_HK

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