DocumentCode
2189631
Title
Multi-resolution Mean-Shift Algorithm for Vector Quantization
Author
Bouttefroy, P.L.M. ; Bouzerdoum, A. ; Beghdadi, A. ; Phung, S.L.
Author_Institution
SECTE, Univ. of Wollongong, Wollongong, NSW, Australia
fYear
2010
fDate
24-26 March 2010
Firstpage
523
Lastpage
523
Abstract
Here we propose to apply the mean-shift algorithm to the four image subbands generated by a DWT, namely the LL, LH, HL and HH subbands. The simulated annealing technique traditionally used to identify the modes of the distribution for different resolutions can be performed by exploration of the multi-scale DWT pyramid, avoiding the costly estimation by a full mean-shift at each level.
Keywords
discrete wavelet transforms; image resolution; simulated annealing; video coding; image subbands; multi-resolution mean-shift algorithm; multi-scale DWT pyramid; simulated annealing technique; vector quantization; Australia; Data compression; Decoding; Discrete wavelet transforms; Image converters; Image generation; Kernel; PSNR; Pixel; Vector quantization; Vector Quantization; discrete wavelet transform; mean-shift;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference (DCC), 2010
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
978-1-4244-6425-8
Electronic_ISBN
1068-0314
Type
conf
DOI
10.1109/DCC.2010.55
Filename
5453500
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