Name
Abstract | ||
|---|---|---|
In digital cameras a color processing pipeline is implemented to convert the RAW image acquired by the camera sensor into a faithful representation of the original scene. There are two main modules in this pipeline: the former is the illuminant estimation and correction module, the latter is the color matrix transformation. In this work we design extended color correction pipelines which exploit the crosstalks between their modules to lead to a higher color rendition accuracy. The effectiveness of the proposed pipelines is shown on a publicly available dataset of RAW images. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/s10851-014-0496-1 | Journal of Mathematical Imaging and Vision |
Keywords | Field | DocType |
Image processing pipeline,Illuminant estimation,Color correction,Color matrix transformation,Digital camera | Computer vision,Color histogram,Computer graphics (images),Demosaicing,Color depth,Color correction,Color balance,Digital camera,Artificial intelligence,RGB color model,Mathematics,Color image | Journal |
Volume | Issue | ISSN |
50 | 3 | 0924-9907 |
Citations | PageRank | References |
3 | 0.41 | 23 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simone Bianco | 1 | 226 | 24.48 |
| Raimondo Schettini | 2 | 1476 | 154.06 |