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dc.contributor.authorMurty, T.V.R.
dc.contributor.authorRao, M.M.M.
dc.contributor.authorSuryaPrakash, S.
dc.contributor.authorChandramouli, P.
dc.contributor.authorMurthy, K.S.R.
dc.date.accessioned2008-02-22T04:58:50Z
dc.date.available2008-02-22T04:58:50Z
dc.date.issued2005
dc.identifier.citation51 ppp.
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/916
dc.description.abstractAn 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.
dc.language.isoen
dc.publisherNational Institute of Oceanography
dc.rightsCopyright [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 If it is brought to our notice by copyright holder that the rights are voilated then the item would be withdrawn.
dc.subjectoceanographic data
dc.subjectstatistical analysis
dc.subjectimage processing
dc.subjectimaging techniques
dc.subjectComputer programs
dc.titleSVD application in image and data compression - Some case studies in oceanography (Developed in MATLAB)
dc.typeTechnical Report


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