Medical Image Compression Using EZW Coding
نویسنده
چکیده
This paper proposes the implementation of an Enhanced Partial EZW algorithm that is based on the probability of significant coefficients within each bit plane on the lung X-ray image and thereby improves the performance. The main purpose of this paper is to analyse the impact and quality of wavelet filter for EZW and also to look into the effect of the level of wavelet decomposition towards compression efficiency. The wavelet filters used are Haar and Daubechies 9/7 (DB). The qualitative and quantitative results are presented.
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