DocumentCode :
2052748
Title :
Implementation of Multiwavelet Transform coding for lossless image compression
Author :
Rajakumar, K. ; Arivoli, T.
Author_Institution :
Dept. of ECE, Kalasalingam Acad. of Res. & Educ., Krishnankoil, India
fYear :
2013
fDate :
21-22 Feb. 2013
Firstpage :
634
Lastpage :
637
Abstract :
Today the performance of the Multiwavelets plays a vital role in the field of image processing which is well known from Wavelet theory. Now a day´s Multiwavelets take wavelets a step ahead in its performance. In this paper the performance of the Integer Multiwavelet Transform (IMWT) for Lossless has been studied. The IMWT provides good result with the image reconstructed. In this paper the performance of the IMWT for lossless compression of images with Magnitude set coding have been obtained. The Transform coefficients are coded with Magnitude set coding and run length Encoding techniques. The Transform coefficient matrix is coded without considering the sign, which make uses of Magnitude Set-Variable Length Integer Representation. The sign information of the coefficients is coded inform of bit plane with zero thresholds. The Bit plane obtained can be used as it is or it can be coded to reduce the bits per pixel (bpp). The Simulation was done using Mat lab.
Keywords :
image coding; runlength codes; transform coding; wavelet transforms; IMWT; bits per pixel reduction; bpp reduction; image processing; integer multiwavelet transform; lossless image compression; magnitude set coding; multiwavelet transform coding; run length encoding technique; transform coefficient matrix; transform coefficients; variable length integer representation; wavelet theory; Encoding; Image coding; Image reconstruction; MATLAB; PSNR; Wavelet transforms; Image compression; Integer Multiwavelet Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2013 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-5786-9
Type :
conf
DOI :
10.1109/ICICES.2013.6508286
Filename :
6508286
Link To Document :
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