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IMAGE COMPRESSION APPROACH FOR MEDICAL PROCESSING USING MODIFIED NEURO MODELING

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Author(s): S. ABDUL KHADER JILANI | Dr. S. ABDUL SATTAR

Journal: International Journal of Engineering Science and Technology
ISSN 0975-5462

Volume: 2;
Issue: 9;
Start page: 4555;
Date: 2010;
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ABSTRACT
Image compression is applied to many fields such as television broadcasting, remote sensing, image storage etc. Digitized images are compressed by a technique which exploits the redundancy of the images so that the number of bits required to represent the image can be reduced with acceptable degradation of the decoded image. The degradation of the image quality is limited wrt. the application used. There are various application where accuracy is of major concern. To achieve the objective of performance improvement with respect to decoded picture quality and compression ratios, compared to existing image compression techniques, a image compression technique using hybrid neural networks combining two different learning networks called Autoassociative multi-layer perceptron and self-organizing feature map is proposed.
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