Medical Image Enhancement for Denoising using Adaptive Wavelet Thresholding and Non-local Means

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-24 Number-1
Year of Publication : 2015
Authors : Prerna Mamgain, Sachin Chaudhary
  10.14445/22312803/IJCTT-V24P104

MLA

Prerna Mamgain, Sachin Chaudhary "Medical Image Enhancement for Denoising using Adaptive Wavelet Thresholding and Non-local Means". International Journal of Computer Trends and Technology (IJCTT) V24(1):17-22, June 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
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 Non-local means algorithm are applied.

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Keywords
DWT, PSNR, denoising, thresholding ,decomposition.