Fast RGB Image Denoising using Non-Adaptive Fuzzy Switching Median Filter |
Author(s): |
| Anjali Ojha , SRCEM Banmore, Morena (M.P); Nirupama Tiwari, SRCEM Banmore, Morena (M.P) |
Keywords: |
| Fuzzy Median filter; SSIM; Entropy; Image Denoising; Median Filter; Salt and Pepper noise; Membership function |
Abstract |
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In this paper, we presented RGB Image denoising which is based on non-adaptive fuzzy switching median filter with salt and pepper noise. There are some image enhancement algorithms to ease the effects of noise over the image to observe the details and gather significant information. Several algorithms accept lots of parameters from the user to achieve the best results. In the method of denoising, there is always a fight between the noise reduction and the fine preservation. We calculated structural similarity matrix (SSIM), entropy and execution time for showing preservation in our method. We achieved good results as compared to previous approaches. In the previous work, they calculated optimization value, but it is so time consuming. In our approach, we apply noise on three components and finally we restored image with their quality preservation. |
Other Details |
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Paper ID: IJSRDV3I30124 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 263-267 |
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