An Adaptive Non-Local Mean Filtering for Image Denoising |
Author(s): |
| Suresh. A , SRI RAMAKRISHNA INSTITUTE OF TECHNOLOGY; Dr. P. Malathi, Sri Rangnathar Institute of Engineering and Technology; Dr. G. Ravikumar, Sri Ramakrishna Institute of Technology; S. Rajesh, Sri Ramakrishna Institute of Technology |
Keywords: |
| Non Local Means Filter, Stationary Wavelet Transform, Bio Metric, And Speckle Noise |
Abstract |
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Non local means that (NLM) filter exploits the self-prediction and self-similarities of the image to calculate the weighted average edge preservation however once the noise will increase, it may suffer from blurring and loss of refined structures and its edges. This article presents a mix of NLM and stationary wavelet remodel (SWT) with adaptive thresholding to get rid of high noise and preserve structural info of edges. The performance of the proposed methodology is compared with existing denoising techniques exploitation each traditional and bio metric pictures. The quantitative measures demonstrate that the performance of the proposed methodology is superior in noise removal and edge preservation of anatomical refined structures. |
Other Details |
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Paper ID: IJSRDV5I20921 Published in: Volume : 5, Issue : 2 Publication Date: 01/05/2017 Page(s): 808-811 |
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