Name
Abstract | ||
|---|---|---|
This paper proposes an efficient procedure for removal of salt and pepper noises from the noisy images on the basis of their local edge preserving filters. This algorithm consists of two major stages. In the first stage, the maximum and minimum pixel value in the the corrupted image is used to select noisy pixels or noise free pixels and then in second stage, local edge preserving filters are used on the basis of noisy pixel detected and the nature of its neighboring pixels in the selected window. Comparing the obtained results with other computationally simple noise removal techniques, our proposed algorithm gives much better qualitative and quantitative performance. Due to its simplicity and low computational cost, our method is suitable for its application in many real time situations. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ISPA.2013.6703707 | ISPA |
Keywords | Field | DocType |
computational complexity,filtering theory,image denoising,computational cost,local edge preserving filters,maximum pixel value,minimum pixel value,noise free pixels,noisy images,noisy pixels,salt and pepper noise removal,edge preserving,median filter,noise detection,salt and pepper noise | Value noise,Median filter,Non-local means,Computer science,Salt-and-pepper noise,Real-time computing,Artificial intelligence,Computer vision,Pattern recognition,Dark-frame subtraction,Image noise,Pixel,Gaussian noise | Conference |
ISSN | Citations | PageRank |
1845-5921 | 0 | 0.34 |
References | Authors | |
8 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amit Kumar | 1 | 310 | 40.43 |
| nimisha agarwal | 2 | 0 | 0.34 |
| juhi bhadviya | 3 | 1 | 1.37 |
| gaurav mittal | 4 | 0 | 0.34 |
| Giovanni Ramponi | 5 | 381 | 51.84 |