Name
Abstract | ||
|---|---|---|
To obtain a true color image from the Bayer CFA samples, an estimation process using interpolation is performed to retrieve the missing color components of each pixel. This is commonly referred to as CFA demosaicing. In this paper, we study the relationship between the resolution of the acquired CFA image and the quality of the demosaiced color image. For this purpose, we propose new criteria based especially on the detected edges of the objects present in the scene. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/SITIS.2007.33 | SITIS |
Keywords | Field | DocType |
missing color component,demosaicing,resolution,image quality,new criterion,cfa image,true color image,interpolation,image resolution,color demosaicing,image segmentation,image pixel,bayer cfa sample,quality,cfa demosaicing,missing color component retrieval,edge detection,demosaiced color image,quality evaluation,estimation process,image colour analysis,spatial resolution,pixel,feature extraction,color image | Bayer filter,Computer vision,Pattern recognition,Color histogram,Computer science,Image quality,Image segmentation,Demosaicing,Pixel,Artificial intelligence,Image resolution,Color image | Conference |
ISBN | Citations | PageRank |
978-0-7695-3122-9 | 4 | 0.51 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanqin Yang | 1 | 38 | 10.48 |
| Olivier Losson | 2 | 46 | 4.87 |
| Luc Duvieubourg | 3 | 6 | 3.29 |