期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2015
卷号：24
期号：1
页码：17-22
DOI：10.14445/22312803/IJCTT-V24P104
出版社：Seventh Sense Research Group
摘要：Images are most widely used for radiological diagnosis in medical examinations. The presence of artifacts and noise in images causes the difficulty in medical diagnosis. Image denoising is one of the popular methods with an aim of noise reduction to retain images quality. Edges are of critical importance to the visual appearance of images. So, it is desirable to preserve important features, such as edges, corners and other sharp structures, during the denoising process. In this paper, Wavelet based noise reduction technique is proposed to improve image quality where adaptive thresholding and Nonlocal means algorithm are applied.
