DocumentCode :
1939546
Title :
A spatially coherent discrete wavelet transform - accessing the localization property for data compression
Author :
Mukherjee, Kunal ; Mukherjee, Amar
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Central Florida Univ., Orlando, FL, USA
fYear :
2000
fDate :
2000
Firstpage :
564
Abstract :
Summary form only given. Wavelets intrinsically give us the capability of localized signal decomposition and analysis in space and frequency. We present the recursive merge filter (RMF) discrete wavelet transform (DWT) algorithm, that organizes intermediate coefficients with respect to both space and frequency. This allows close coupling and pipelining with the encoder, fine grained coding, and “cheap growing” of larger DWT from smaller ones in a constant number of filter operations. The RMF algorithm computes the DWT of an array of length N in a bottom-up fashion, by successively “merging” two smaller DWT (four in 2D), and applying the wavelet filter only on the “smooth” or DC coefficients
Keywords :
data compression; discrete wavelet transforms; filtering theory; recursive filters; transform coding; DC coefficients; DWT; data compression; fine grained coding; localization property; pipelining; recursive merge filter; spatially coherent discrete wavelet transform; wavelet filter; Compression algorithms; Computer science; Data compression; Discrete wavelet transforms; Filters; Frequency; Signal analysis; Signal resolution; Spatial coherence; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2000. Proceedings. DCC 2000
Conference_Location :
Snowbird, UT
ISSN :
1068-0314
Print_ISBN :
0-7695-0592-9
Type :
conf
DOI :
10.1109/DCC.2000.838211
Filename :
838211
Link To Document :
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