AUTHORS: Trupti Baraskar, Vijay Mankar

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ABSTRACT: The Image denoising is one of the challenges in medical image compression field. The Discrete Wavelet Transform and Wavelet Thresholding is a popular tool to denoising the image. The Discrete Wavelet Transform uses multiresolution technique where different frequency are analyzed with different resolution. In this proposed work we focus on finding the best wavelet type by applying initially three level decomposition on noise image. Then irrespective to noise type, in second stage, to estimate the threshold value the hard thresholding and universal threshold approach are applied and to determine best threshold value. Lastly Arithmetic Coding is adopted to encode medical image. The simulation work is used to calculate Percentage of Non – Zero Value (PCDZ) of wavelet coefficient for different wavelet types. The proposed method archives good Peak Signal to Noise Ratio and less Mean Square Error and higher Compression Ratio when wavelet threshold and Uniform Quantization apply on Arithmetic Coder

KEYWORDS: Compression Algorithm, Image Filtering Technique, Wavelet Denoising, Wavelet Thresholding, DICOM, PCDZ

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