Name
Abstract | ||
|---|---|---|
Most digital cameras use a color filter array to capture the colors of the scene. Downsampled versions of the red, green, and blue components are acquired, and an interpolation of the three colors is necessary to reconstruct a full representation of the image. This color interpolation is known as demosaicing. The most effective demosaicing techniques proposed in the literature are based on directional filtering and a posteriori decision. In this paper, we present a novel approach to this reconstruction method. A refining step is included to further improve the resulting reconstructed image. The proposed approach requires a limited computational cost and gives good performance even when compared to more demanding techniques. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TIP.2006.884928 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
filtering theory,image colour analysis,image reconstruction,image representation,interpolation,a posteriori decision,color filter array,demosaicing techniques,digital cameras,directional filtering,image reconstruction,image representation,Bayer pattern,color filter array (CFA) interpolation,demosaicing,digital cameras,directional filtering | Bayer filter,Iterative reconstruction,Computer vision,Pattern recognition,Interpolation,A priori and a posteriori,Filter (signal processing),Image processing,Demosaicing,Artificial intelligence,Color filter array,Mathematics | Journal |
Volume | Issue | ISSN |
16 | 1 | 1057-7149 |
Citations | PageRank | References |
68 | 3.13 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniele Menon | 1 | 144 | 7.01 |
| Stefano Andriani | 2 | 101 | 7.94 |
| Giancarlo Calvagno | 3 | 260 | 23.63 |