Name
Title | ||
|---|---|---|
Image denoising based on the ridgelet frame using the generalized cross validation technique |
Abstract | ||
|---|---|---|
A new image-denoising algorithm is proposed, which uses the Generalized Cross Validation technique in the ridgelet frame domain. The proposed algorithm has two advantages: first, it can select the optimal threshold automatically without the knowledge of the noise level; second, it has the ability to well recover the 'line-type' structures contained in noisy images. Experimentally, the high performance of the proposed algorithm is demonstrated. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74260-9_4 | ICIAR |
Keywords | Field | DocType |
generalized cross validation technique,ridgelet frame domain,optimal threshold,new image-denoising algorithm,high performance,noise level,proposed algorithm,noisy image | Computer vision,Pattern recognition,Closure (mathematics),Computer science,Noise level,Image denoising,Artificial intelligence,Cross-validation,Tight frame | Conference |
Volume | ISSN | ISBN |
4633 | 0302-9743 | 3-540-74258-1 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
2 | ||