Name
Title | ||
|---|---|---|
A Novel Multilayer Decision Based Iterative Filter For Removal Of Salt And Pepper Noise |
Abstract | ||
|---|---|---|
In this paper a novel decision based iterative filter for the detection and elimination of salt and pepper noise is proposed. Effective decisions based upon the noise density of the image are used to filter out noise while maintaining finer details in an image. A fixed size window is used at each step to maintain maximum correlation throughout the filtering process. Additional pre-edge and post-smoothing processing are also presented to further enhance the quality of image. Rigorous analysis over Kodak benchmark dataset containing 24 natural images indicates an exceptional performance boost for medium to extremely high noise density when compared with state of the art filtering techniques. The proposed filter is tested quantitatively and qualitatively using benchmark parameters including peak signal to noise ratio, image enhancement factor and visual representation. Even at noise density as high as 90% and 95%, the proposed filter outperforms the exiting filters providing better edge detail, less blurring and low streaking effects. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/s11042-021-10958-1 | MULTIMEDIA TOOLS AND APPLICATIONS |
Keywords | DocType | Volume |
Salt and Pepper noise, Mean filter, Median filter, Combinational filtering, Image denoising, Decision based filtering | Journal | 80 |
Issue | ISSN | Citations |
17 | 1380-7501 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nikhil Sharma | 1 | 1 | 0.70 |
| Prateek Jeet Singh Sohi | 2 | 1 | 0.70 |
| Bharat Garg | 3 | 32 | 9.88 |
| K V Arya | 4 | 0 | 0.34 |