Name
Abstract | ||
|---|---|---|
This paper presents an adaptation of the tensor voting framework for color image denoising, while preserving edges. Tensors are used in order to encode the CIELAB color channels, the uniformity and the edginess of image pixels. A specific voting process is proposed in order to propagate color from a pixel to its neighbors by considering the distance between pixels, the perceptual color difference (by using an optimized version of CIEDE2000), a uniformity measurement and the likelihood of the pixels being impulse noise. The original colors are corrected with those encoded by the tensors obtained after the voting process. Peak to noise ratios and visual inspection show that the proposed methodology has a better performance than state-of-the-art techniques. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-03767-2_60 | CAIP |
Keywords | Field | DocType |
tensor voting framework,specific voting process,perceptual color difference,cielab color channel,original color,impulse noise,color image denoising,robust color image denoising,noise ratio,image pixel,voting process,color image,visual inspection | Noise reduction,Computer vision,Color histogram,Pattern recognition,Computer science,Color balance,Color depth,Pixel,Artificial intelligence,Color difference,Channel (digital image),Color image | Conference |
Volume | ISSN | Citations |
5702 | 0302-9743 | 2 |
PageRank | References | Authors |
0.38 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rodrigo Moreno | 1 | 20 | 2.55 |
| Miguel Angel Garcia | 2 | 154 | 12.86 |
| Domenec Puig | 3 | 332 | 54.33 |
| Carme Julià | 4 | 58 | 6.78 |