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ICETTR-2013
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Paper Title : Implementation of wavelet family on biomedical images compression
Author Name : Monika shukla, Sonika arrora, Mangal singh
Abstract : Medical images compression plays a key role as hospital, move towards film-less imaging &go completely compression .image compression will allow picture archiving &communication system to reduce the file size on their storage requirement while maintaining relevant diagnostic information .There have been numerous compression research studies.it can be focusing on a just lossless compression method. This thesis will propose an approach to improve the performance of medical image compression while satisfying both the medical team who need to use it. This thesis will propose an approach to improve the performance of medical image compression while satisfying both the medical team who need to use it, without of any significant loss in the diagnostability of the image we choose different type wavelet function to compress biomedical images. This thesis is focused on selecting the most appropriate wavelet function for a given type of biomedical image compression. In this thesis we studied the behavior of different type of wavelet function with different type of biomedical images and suggested the most appropriate wavelet function that can perform optimum compression for a given type of biomedical image. To analyze the performance of the wavelet function with the biomedical images we fixed the loss amount of the data in the compressed image (Quality of the compressed image will be same for each wavelet function) and calculated their respective compression ratio. The wavelet function that gives the maximum compression for a specific type of biomedical image will be the most appropriate wavelet for that type of biomedical image compression.
Keywords : Wavelet, Image compression, Haar wavelet, Daubechies, Coiflect, Bbiorthogonal, Compression, Decompression.
Cite this article : Monika shukla, Sonika arrora, Mangal singh " Implementation of wavelet family on biomedical images compression " ,ICETTR-2013 ,Page No : 412-417.