Name
Abstract | ||
|---|---|---|
This article proposes an original method for grading the colours between different images or shots. The first stage of the method is to find a one-to-one colour mapping that transfers the palette of an example target picture to the original picture. This is performed using an original and parameter free algorithm that is able to transform any N-dimensional probability density function into another one. The proposed algorithm is iterative, non-linear and has a low computational cost. Applying the colour mapping on the original picture allows reproducing the same 'feel' as the target picture, but can also increase the graininess of the original picture, especially if the colour dynamic of the two pictures is very different. The second stage of the method is to reduce this grain artefact through an efficient post-processing algorithm that intends to preserve the gradient field of the original picture. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.cviu.2006.11.011 | Computer Vision and Image Understanding |
Keywords | Field | DocType |
colour grading,re-colouring,original method,colour mapping,distribution transfer,example target picture,proposed algorithm,colour transfer,colour dynamic,automated colour,target picture,efficient post-processing algorithm,parameter free algorithm,colour distribution transfer,original picture,one-to-one colour mapping,probability density function | Computer vision,Grading (education),Vector field,Colour look-up table,Iterative method,Artificial intelligence,Probability density function,Mathematics,Color image | Journal |
Volume | Issue | ISSN |
107 | 1-2 | Computer Vision and Image Understanding |
Citations | PageRank | References |
129 | 4.88 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| François Pitié | 1 | 237 | 15.59 |
| Anil C. Kokaram | 2 | 541 | 59.24 |
| Rozenn Dahyot | 3 | 340 | 32.62 |