DocumentCode :
261091
Title :
Lossy image compression using multiwavelet transform coding
Author :
Rajakumar, K. ; Arivoli, T.
Author_Institution :
Dept. of Electron. & Commun. Eng., Kalasalingam Acad. of Res. & Educ., Krishnankoil, India
fYear :
2014
fDate :
27-28 Feb. 2014
Firstpage :
1
Lastpage :
6
Abstract :
Multiwavelets are an advance of the well established wavelet theory. The performance of the wavelets in the field of image processing is well known. Multiwavelets take wavelets a step ahead in performance. In this work the performance of the Integer Multiwavelet Transform (IMWT) for Lossy compression has been studied. The IMWT shows good performance with reconstruction of the images. This work analyses the performance of the IMWT for lossy compression of images with Magnitude set coding. The Transform coefficients are coded using the Magnitude set coding and run length Encoding techniques. The Transform coefficient matrix is coded without taking into account of the sign by using the Magnitude Set - Variable Length Integer representation. The sign information of the coefficients is coded as bit plane with zero thresholds. The Bit plane so formed can be used as it is or coded to reduce the bpp. The Simulation was done in Mat lab.
Keywords :
data compression; image coding; image reconstruction; runlength codes; wavelet transforms; IMWT; bit plane coding; image processing; image reconstruction; integer multiwavelet transform; lossy image compression; magnitude set coding; multiwavelet transform coding; run length encoding techniques; sign information; transform coefficient matrix; variable length integer representation; wavelet theory; zero thresholds; Encoding; Filter banks; Filtering theory; Image coding; Image reconstruction; Wavelet transforms; Bit plane coding; Image compression; Image reconstruction; Magnitude set coding; Multiwavelet Transform; run length coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3835-3
Type :
conf
DOI :
10.1109/ICICES.2014.7033977
Filename :
7033977
Link To Document :
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