Application-driven computation of optimum quantization tables for DCT-based block coders

Panagiotidis Nikos, G; Delopoulos Anastasios, N; Kollias Stefanos, D

dc.contributor.author	Panagiotidis Nikos, G	en
dc.contributor.author	Delopoulos Anastasios, N	en
dc.contributor.author	Kollias Stefanos, D	en
dc.date.accessioned	2014-03-01T02:48:23Z
dc.date.available	2014-03-01T02:48:23Z
dc.date.issued	1996	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33788
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0030360008&partnerID=40&md5=ce88dd9e1edf584aef51b4244ce700a1	en
dc.subject.other	Block coders	en
dc.subject.other	Discrete cosine transforms	en
dc.subject.other	Quantization tables	en
dc.subject.other	Data compression	en
dc.subject.other	Mathematical transformations	en
dc.subject.other	Optimization	en
dc.subject.other	Quality control	en
dc.subject.other	Standards	en
dc.subject.other	Clutches	en
dc.subject.other	Computer graphics	en
dc.subject.other	Cosine transforms	en
dc.subject.other	Discrete cosine transforms	en
dc.subject.other	Frequency allocation	en
dc.subject.other	Vector quantization	en
dc.subject.other	Image coding	en
dc.subject.other	Data compression	en
dc.subject.other	Additional constraints	en
dc.subject.other	Base-lines	en
dc.subject.other	Block coders	en
dc.subject.other	Do-mains	en
dc.subject.other	Frequency coefficients	en
dc.subject.other	Optimal quantizations	en
dc.subject.other	Optimum quantizations	en
dc.subject.other	Power metrics	en
dc.subject.other	Quality factors	en
dc.subject.other	Quantization tables	en
dc.subject.other	Sub spaces	en
dc.subject.other	Transform co-efficient	en
dc.title	Application-driven computation of optimum quantization tables for DCT-based block coders	en
heal.type	conferenceItem	en
heal.publicationDate	1996	en
heal.abstract	In this paper we propose a method for computing optimal quantization tables for specific images. The main criterion for this processing is the allocation of bandwidth in frequency subspaces in the DCT-domain according to power metrics obtained from the transform coefficients. Choice of the weights determines the subjective importance of each frequency coefficient as well as its contribution the finally perceived image. The simultaneous requirement that the quantization tables yield data compression comparable to the one achieved by the baseline JPEG scheme at various quality factors (QF) imposes an additional constraint to the proposed model.	en
heal.journalName	Proceedings of SPIE - The International Society for Optical Engineering	en
dc.identifier.volume	2952	en
dc.identifier.spage	617	en
dc.identifier.epage	622	en