Name
Title | ||
|---|---|---|
Selective image sharpening by simultaneous nonlinear-diffusion process with spatially varying parameter presetting |
Abstract | ||
|---|---|---|
Previously we have presented a PDE-based method for selective image sharpening. Our method works as the simultaneous nonlinear-diffusion process composed of a nonlinear-diffusion term, a fidelity term and a peaking term, and it sharpens blurred edges while smoothing out noisy variations. However, our method has the problem that it does not satisfactorily sharpen complex image-structures such as T-shaped edges and textures. This paper copes with the problem, and improves selective image sharpening. As the preprocess of our PDE-based method, this paper introduces a step to classify each pixel into two categories on the basis of mid-scale image-features contained in the image-gradient field. The classification results are then utilized to preset the parameters characterizing our PDE-based method spatially varyingly. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30542-2_104 | PCM (2) |
Keywords | Field | DocType |
t-shaped edge,fidelity term,selective image,paper cope,pde-based method spatially varyingly,method work,spatially varying parameter presetting,classification result,pde-based method,simultaneous nonlinear-diffusion process,nonlinear-diffusion term,image features | Sharpening,Computer vision,Fidelity,Computer science,Nonlinear diffusion,Smoothing,Artificial intelligence,Pixel | Conference |
Volume | ISSN | ISBN |
3332 | 0302-9743 | 3-540-23977-4 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takahiro Saito | 1 | 100 | 30.46 |
| Shigemitsu Anyoji | 2 | 0 | 0.34 |
| Takashi Komatsu | 3 | 113 | 33.96 |