Name
Abstract | ||
|---|---|---|
Milano-Retinex is a family of Retinex-inspired spatial colour algorithms mainly developed for colour image enhancement. According to the Retinex theory, a Milano-Retinex algorithm takes as input an RGB image and processes the colour intensities of each pixel (i.e. the target) based on the spatial distribution of the colour intensities sampled in a surrounding region. The output is an RGB image, wi... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2017.1224 | IET Image Processing |
Keywords | Field | DocType |
gradient methods,image colour analysis,image enhancement,image sampling,set theory | Computer vision,Color constancy,Pattern recognition,Rgb image,Pixel,Sampling (statistics),Artificial intelligence,Colour image,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 6 | 1751-9659 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michela Lecca | 1 | 25 | 9.03 |
| Gabriele Simone | 2 | 77 | 8.42 |
| Cristian Bonanomi | 3 | 6 | 4.51 |
| Alessandro Rizzi | 4 | 35 | 8.67 |