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

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    Date
    2005
    Author
    Murty, T.V.R.
    Rao, M.M.M.
    SuryaPrakash, S.
    Chandramouli, P.
    Murthy, K.S.R.
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    Abstract
    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.
    URI
    http://drs.nio.org/drs/handle/2264/916
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