Adaptive Fuzzy Filter and Histogram Equivalence In Order to Remove Salt and Pepper Noise |
Author(s): |
| Sharanjit Singh , GNDU regional campus gurdaspur; Amardeep Singh, gndu regional campus gurdaspur; Simmy, GNDU regional campus gurdaspur |
Keywords: |
| Image Processing, Noise, Median, salt and pepper noise, redundancy, temperature |
Abstract |
|
Image processing is the mechanism used in order to better present the information in terms of the image. The image will represent the information in easy to understand way. The problem with the image can be the noise when image is transferred over the network. The image can be distorted by the temperature also. The problem will be resolved when filters are used. In the proposed paper we will use histogram equivalence mechanism to remove the specific type of noise known as salt and pepper noise. The salt and pepper noise will be removed if median filter is used. The problem will be temperature. When temperature increases the median filter is useless. So proposed paper uses the mechanism of histogram equal valence and redundancy handling mechanism in order to resolve the salt and pepper noise from within the image. |
Other Details |
|
Paper ID: IJSRDV4I30448 Published in: Volume : 4, Issue : 3 Publication Date: 01/06/2016 Page(s): 399-401 |
Article Preview |
|
|
|
|
