Name
Title | ||
|---|---|---|
Image sharpening by coupled nonlinear - Diffusion on the chromaticity - Brightness color representation |
Abstract | ||
|---|---|---|
Previously we presented a selective image sharpening method with a coupled nonlinear diffusion process, and it sharpens only blurred edges without enhancing noise. Our prototypal color-image sharp- ening methods were formulated on the linear color models, namely, the channel-by-channel model and the 3D vector model. Our proto- typal methods sharpen blurred color edges, but they do not neces- sarily enhance contrasts of signal variations in complex texture regions so well as in simple step-edge regions. To remedy the draw- back, we extend our coupled nonlinear-diffusion sharpening method to the nonlinear non-flat color model, namely, the chromaticity- brightness model, which is known to be closely relating to human color perception. We modify our time-evolution PDE's for the non- flat space of the chromaticity vector, and present its digital imple- mentations. |
Year | Venue | Keywords |
|---|---|---|
2006 | EUSIPCO | brightness,image colour analysis,image representation,image texture,partial differential equations,3d vector model,blurred color edges,brightness color representation,channel-by-channel model,chromaticity-brightness model,color-image sharpening method,complex texture region,coupled nonlinear-diffusion process,human color perception,linear color model,nonlinear nonflat color model,step-edge region,time-evolution pde |
Field | DocType | ISSN |
Sharpening,Computer vision,Color space,Color histogram,Color balance,Artificial intelligence,RGB color model,Color model,Color normalization,Mathematics,Color image | Conference | 2219-5491 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takahiro Saito | 1 | 100 | 30.46 |
| Reina Nosaka | 2 | 0 | 0.34 |
| Takashi Komatsu | 3 | 113 | 33.96 |