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  • 标题:Improving Image Quality in Medical Images Using a Combined Method of Undecimated Wavelet Transform and Wavelet Coefficient Mapping
  • 本地全文:下载
  • 作者:Du-Yih Tsai ; Eri Matsuyama ; Hsian-Min Chen
  • 期刊名称:International Journal of Biomedical Imaging
  • 印刷版ISSN:1687-4188
  • 电子版ISSN:1687-4196
  • 出版年度:2013
  • 卷号:2013
  • 页码:1-11
  • DOI:10.1155/2013/797924
  • 出版社:Hindawi Publishing Corporation
  • 摘要:We propose a method for improving image quality in medical images by using a wavelet-based approach. The proposed method integrates two components: image denoising and image enhancement. In the first component, a modified undecimated discrete wavelet transform is used to eliminate the noise. In the second component, a wavelet coefficient mapping function is applied to enhance the contrast of denoised images obtained from the first component. This methodology can be used not only as a means for improving visual quality of medical images but also as a preprocessing module for computer-aided detection/diagnosis systems to improve the performance of screening and detecting regions of interest in images. To confirm its superiority over existing state-of-the-art methods, the proposed method is experimentally evaluated via 30 mammograms and 20 chest radiographs. It is demonstrated that the proposed method can further improve the image quality of mammograms and chest radiographs, as compared to two other methods in the literature. These results reveal the effectiveness and superiority of the proposed method.
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