Name
Abstract | ||
|---|---|---|
Image restoration is an important and interesting problem in the field of image processing because it improves the quality of input images, which facilitates postprocessing tasks. The salt-and-pepper noise has a simpler structure than other noises, such as Gaussian and Poisson noises, but is a very common type of noise caused by many electronic devices. In this article, we propose a two-stage filter to remove high-density salt-and-pepper noise on images. The range of application of the proposed denoising method goes from low-density to high-density corrupted images. In the experiments, we assessed the image quality after denoising using the peak signal-to-noise ratio and structural similarity metric. We also compared our method against other similar state-of-the-art denoising methods to prove its effectiveness for salt and pepper noise removal. From the findings, one can conclude that the proposed method can successfully remove super-high-density noise with noise level above 90%. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11042-020-08887-6 | MULTIMEDIA TOOLS AND APPLICATIONS |
Keywords | DocType | Volume |
Image denoising,Salt and pepper noise,Image restoration,Image processing,Image quality assessment | Journal | 79.0 |
Issue | ISSN | Citations |
29-30 | 1380-7501 | 1 |
PageRank | References | Authors |
0.37 | 34 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dang N. H. Thanh | 1 | 22 | 4.21 |
| Nguyen Hoang Hai | 2 | 1 | 0.37 |
| V. B. Surya Prasath | 3 | 179 | 30.60 |
| Le Minh Hieu | 4 | 22 | 4.91 |
| João Manuel R. S. Tavares | 5 | 603 | 62.85 |