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SVD application in image and data compression - Some case studies in oceanography (Developed in MATLAB)

DRS at CSIR-National Institute of Oceanography

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Title SVD application in image and data compression - Some case studies in oceanography (Developed in MATLAB)
 
Creator Murty, T.V.R.
Rao, M.M.M.
SuryaPrakash, S.
Chandramouli, P.
Murthy, K.S.R.
 
Subject oceanographic data
statistical analysis
image processing
imaging techniques
Computer programs
 
Description An integrated friendly-user interactive multiple Ocean Application Pacakage has been developed utilizing the well known statistical technique called Singular Value Decomposition (SVD) to achieve image and data compression in MATLAB environment. This package facilitates to assign an input like images (BMP, JPEG, TIFF
GIF) data (in the form of matrix) and automation has been made to obtain compressed image/data for a given Closeness ratio. A worked example reveals that drastic reduction in storage space in compressed image as well as data is achieved. Another interesting feature of present SVD compression technique is that a JPEG image file gains higher compression with less quality loss.
 
Date 2008-02-22T04:58:50Z
2008-02-22T04:58:50Z
2005
 
Type Technical Report
 
Identifier 51 ppp.
http://drs.nio.org/drs/handle/2264/916
 
Language en
 
Rights Copyright [2005]. It is tried to respect the rights of the copyright holders to the best of the knowledge. If it is brought to our notice by copyright holder that the rights are voilated then the item would be withdrawn.
 
Publisher National Institute of Oceanography