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Improving visibility on medical images is crucially important for facilitating diagnostic accuracy. We propose a method which aims at improving visibility on medical images by means of detail enhancement. The core techniques we employ to achieve detail enhancement are coefficient estimation and coefficient refinement, and all are manipulated in wavelet domain. Our method enables visually hidden information to be revealed and blurred texture to be restored without significantly altering averaged optical density and dynamic range of medical images. Moreover, the proposed method enables the level for detail enhancement to be scalably selectable, through which an optimally enhanced image can be obtained for viewer's reference.