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Image Compression Using Contourlet Wavelet Transform (CWT)
Authors(2) :-Mule Abhi Roop, Dr. I. Kullayamma
Singular Value Decomposition (SVD) deals withthe decomposition of general matrices which has proven to beuseful for numerous applications in science and engineeringdisciplines recently different techniques are used for compressing the images. Singular value decomposition is also recently used technique. In this paper we propose a method based on contourlet wavelet transform (CWT) and also the compression ratio also evaluated. Compared to SVD, H264, the contourlettransform provides accurate and effective results .The experimental results gives better performance and the method gives valid and accurate results .The implementation tool for the tests andexperiments is MATLAB.
Mule Abhi Roop, Dr. I. Kullayamma
Singular Value Decomposition, contourlet wavelet transform , Lossy Compression, Lossless Compression, AVCHD, HDTV
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Published in : Volume 4 | Issue 7 | March-April 2018
Date of Publication : 2018-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 213-221
Manuscript Number : IJSRST1845409
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Mule Abhi Roop, Dr. I. Kullayamma, "Image Compression Using Contourlet Wavelet Transform (CWT)", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 7, pp.213-221, March-April-2018.
Journal URL : http://ijsrst.com/IJSRST1845409