Name
Abstract | ||
|---|---|---|
We propose a novel statistical color constancy method, especially suitable for the Camera-agnostic Color Constancy, i.e. the scenario where nothing is known a priori about the capturing devices. The method, called Dichromatic Gray Pixel, or DGP, relies on a novel gray pixel detection algorithm derived using the Dichromatic Reflection Model. DGP is suitable for camera-agnostic color constancy since varying devices are set to make achromatic pixels look gray under standard neutral illumination. In the camera-agnostic scenario, the proposed method outperforms on standard benchmarks, both state-of-the-art learning-based and statistical methods. DGP is simple, literally dozens of lines of code, and fast, processing a 1080p image in 0.4 seconds with unoptimized MATLAB code running in a CPU Intel i7 2.5 GHz. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Computer Vision and Pattern Recognition | Computer vision,Color constancy,MATLAB,1080p,Computer science,A priori and a posteriori,Artificial intelligence,Pixel,Achromatic lens,Gray (unit),Source lines of code |
DocType | Volume | Citations |
Journal | abs/1803.08326 | 0 |
PageRank | References | Authors |
0.34 | 14 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanlin Qian | 1 | 0 | 0.68 |
| Ke Chen | 2 | 585 | 36.13 |
| Jarno Nikkanen | 3 | 8 | 4.70 |
| Joni-Kristian Kämäräinen | 4 | 113 | 23.78 |
| Jiri Matas | 5 | 335 | 35.85 |