We propose a method for improving image quality in medical images by using a wavelet-based approach. The proposed method\r\nintegrates two components: image denoising and image enhancement. In the first component, a modified undecimated discrete\r\nwavelet transform is used to eliminate the noise. In the second component, a wavelet coefficient mapping function is applied to\r\nenhance the contrast of denoised images obtained fromthe first component. This methodology can be used not only as a means for\r\nimproving visual quality of medical images but also as a preprocessing module for computer-aided detection/diagnosis systems\r\nto improve the performance of screening and detecting regions of interest in images. To confirm its superiority over existing\r\nstate-of-the-art methods, the proposed method is experimentally evaluated via 30 mammograms and 20 chest radiographs. It\r\nis demonstrated that the proposed method can further improve the image quality of mammograms and chest radiographs, as\r\ncompared to two other methods in the literature.These results reveal the effectiveness and superiority of the proposed method.
Loading....