Name
Abstract | ||
|---|---|---|
Demosaicking is the process of reconstructing a full resolution color image from the sampled data acquired by a digital camera that apply a color filter array to a single sensor. In this paper, we propose a regularization approach to demosaicking, making use of some prior knowledge about natural color images, such as smoothness of each single color component and correlation between the different color channels. Initially, a quadratic strategy is considered and a general approach is reported. Then, an adaptive technique is analyzed, in order to improve the reconstruction near the edges and the discontinuities of the image. This is performed using a novel strategy that avoids computational demanding iterations. The proposed approach provides good performances and candidates itself for many applications. Moreover, since the response of the pixel sensors can be taken into account, it can handle nonideal acquisition devices. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TIP.2009.2025092 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
cameras,image reconstruction,image resolution,optical filters,color channels,color filter array,color image resolution,demosaicking,digital camera,image reconstruction,nonideal acquisition devices,pixel sensors,Bayer pattern,color filter array (CFA) interpolation,deblurring,demosaicking,digital cameras,regularization | Bayer filter,Computer vision,Deblurring,Pattern recognition,Demosaicing,Regularization (mathematics),Digital camera,Artificial intelligence,Color filter array,Mathematics,Color image | Journal |
Volume | Issue | ISSN |
18 | 10 | 1057-7149 |
Citations | PageRank | References |
35 | 1.45 | 25 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniele Menon | 1 | 144 | 7.01 |
| Giancarlo Calvagno | 2 | 260 | 23.63 |