Rajpoot, Nasir M., Hussain, Arshad, Ali, Usman, Saleem, Kashif and Qureshi, Mahmud (2004) A novel image coding algorithm using ant colony system vector quantization. In: International Workshop on Systems, Signals and Image Processing (IWSSIP 2004), Poznan, Poland, 13-15 Sep 2004 (Unpublished)
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Abstract
Ant colony system (ACS) is a combinatorial optimization method motivated by the behaviour of real ants. In this paper, we present a novel image coding method based on ACS vector quantization of groups of wavelet coefficients. The generation of codebook using ACS is facilitated by representing the coefficient vectors in a bidirectional graph, followed by defining a suitable mechanism of depositing pheromone on the edges of graph. Experimental results show that the quantization of zerotree vectors using ACS outperforms, in most cases, its traditionally used Linde-Buzo-Gray (LBG) counterpart.
Item Type: | Conference Item (Paper) |
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science |
Library of Congress Subject Headings (LCSH): | Image compression, Wavelets (Mathematics) |
Official Date: | 2004 |
Dates: | Date Event 2004 Available |
Status: | Peer Reviewed |
Publication Status: | Unpublished |
Date of first compliant deposit: | 28 July 2016 |
Date of first compliant Open Access: | 28 July 2016 |
Conference Paper Type: | Paper |
Title of Event: | International Workshop on Systems, Signals and Image Processing (IWSSIP 2004) |
Type of Event: | Workshop |
Location of Event: | Poznan, Poland |
Date(s) of Event: | 13-15 Sep 2004 |
Related URLs: | |
URI: | https://wrap.warwick.ac.uk/61378/ |
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