Name
Title | ||
|---|---|---|
Image denoising based on statistical jump regression analysis and local segmentation using Normalized Cuts |
Abstract | ||
|---|---|---|
The Edge-Preserving Surface Estimation based on statistical jump regression analysis is a powerful approach for image denoising. However, it requires an accessorial corner-preserving technique in which a corner threshold needs to be tuned. In this paper, we suggest a novel procedure based on local segmentation using Normalized Cuts which can well preserve the edges and corners at the same time without using the corner-preserving technique. Extensive experiments show that the proposed approach outperforms the state-of-the-art existing approaches. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICASSP.2009.4959670 | ICASSP |
Keywords | Field | DocType |
edge-preserving surface estimation,normalized cuts,corner-preserving technique,corner threshold,state-of-the-art existing approach,statistical jump regression analysis,powerful approach,local segmentation,extensive experiment,image denoising,accessorial corner-preserving technique,gaussian noise,noise,regression analysis,noise reduction,estimation theory,edge detection,pixel,filtering,kernel,image segmentation,adaptive filters,estimation | Mathematical optimization,Pattern recognition,Segmentation,Edge detection,Computer science,Filter (signal processing),Image segmentation,Artificial intelligence,Pixel,Estimation theory,Jump,Gaussian noise | Conference |
ISSN | Citations | PageRank |
1520-6149 | 1 | 0.38 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liang Zhang | 1 | 1 | 0.38 |
| Jian-Zhou Zhang | 2 | 22 | 5.38 |