文章基本信息

标题：Proficient Image Compression using the Wavelet Transform and Fuzzy C-Means Clustering
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作者：R.Kavitha ; Sundararajan.M ; Arulselvi S 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：5
页码：2895
DOI：10.15680/IJIRSET.2015.0405147
出版社：S&S Publications
摘要：The proficient Image Compression of Medical Images U sing the Discrete Wavelet Transformation (DWT) and the fuzzy c-means clustering technique.The goal is to achieve higher compressio n rates b y applying different compression thresholds for the wavelet coefficients of each DWT band, in terms of how they are clustered according to their absolute values.Image compression methodologies utilizing the DWT apply it to the whole original image. That is, different comp ression ratios are applied to the wavelet coefficients belonging in the different regions o f interest, in which either each wavelet domain band of the transformed image or the image itself is clustered, respectively. Regarding the first method, its reconstruction process involves using the inverse DWT on the remaining wavelet coefficients. Concerning the second method, its reconstruction process involves linear co mbination of the reconstructed regions of interest. An experimental study is conducted to qualitatively assessing both approaches in comparison with the original DWT compression technique, when applied to a set of medical images.