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http://dx.doi.org/10.5762/KAIS.2015.16.1.658

Medical Image Enhancement Using an Adaptive Nonlinear Histogram Stretching  

Kim, Seung-Jong (Department of Computer Information, Hanyang Women's University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.16, no.1, 2015 , pp. 658-665 More about this Journal
Abstract
In the production of medical images, noise reduction and contrast enhancement are important methods to increase qualities of processing results. By using the edge-based denoising and adaptive nonlinear histogram stretching, a novel medical image enhancement algorithm is proposed. First, a medical image is decomposed by wavelet transform, and then all high frequency sub-images are decomposed by Haar transform. At the same time, edge detection with Sobel operator is performed. Second, noises in all high frequency sub-images are reduced by edge-based soft-threshold method. Third, high frequency coefficients are further enhanced by adaptive weight values in different sub-images. Finally, an adaptive nonlinear histogram stretching method is applied to increase the contrast of resultant image. Experimental results show that the proposed algorithm can enhance a low contrast medical image while preserving edges effectively without blurring the details.
Keywords
Denoising; Nonlinear histogram stretching; Soft-threshold filtering; Wavelet transform;
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Times Cited By KSCI : 1  (Citation Analysis)
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