Analysis of Image Compression in medical images Using Hybridization of DWT and Neural Network

Volume: 2    Issue: 1

Year of Publication: 2015

Pages: (84-88)

Authors: Prabhsimran bajwa, Ramandeep kaur

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Abstract

Image compression plays a critical role in telemetric applications and especially in telemedicine. It is desired that either single images or sequences of images be transmitted over computer networks at large distances so as that they could be used in a multitude of purposes. It is necessary that medical images be transmitted so as that reliable, improved and fast medical diagnosis performed by many centers could be facilitated. To this end, image compression is an important research issue. The difficulty, however, in several applications lies on the fact that, while high compression rates are desired. So, in this paper the image compression system is being developed using DWT and NN in MATLAB environment. To validate the results three parameter has been chosen i.e. PSNR, Compression ratio and MSE value. The evaluation results show that proposed technique leads to high compression ratio.

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Keywords

Image Compression, DWT, DCT, Neural Network.