Application of Image Decomposition Model to Medical Image Enhancement
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    Abstract:

    Medical image enhancement is an important section during the medical image processing. Through analysising shortcomings of ROF(Rudin, Osher and Fatemi) model and Wavelet de-noising, first, we decomposed the image into three parts which are structure, details as well as noise, and kept the structure afterwards. Next, by considering on the non-Gaussian character of the wavelet coefficients, we applied Wavelet de-noising to the details as well as noise part. Then we obtained the details. Finally, we plused the structure and the details. According to the result, the higher PSNR and higher EPI have witnessed the better performance of the algorithm.

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鄢展鹏,严广乐.图像分解模型在医学图像增强中的应用.计算机系统应用,2012,21(2):185-187,195

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  • Received:June 15,2011
  • Revised:July 16,2011
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