Name
Title | ||
|---|---|---|
Blur Identification and Image Super-Resolution Reconstruction Using an Approach Similar to Variable Projection. |
Abstract | ||
|---|---|---|
Super-resolution reconstruction (SRR) produces a high-resolution image from multiple low-resolution images. Many image SRR algorithms assume that the blurring process, i.e., point spread function (PSF) of the imaging system is known in advance. However, the blurring process is not known or is known only to within a set of parameters in many practical applications. In this letter, we propose an app... |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/LSP.2007.911743 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Image resolution,Image reconstruction,Deconvolution,Parameter estimation,Optical imaging,Gaussian processes,Degradation,Signal processing algorithms,High-resolution imaging,Image restoration | Iterative reconstruction,Computer vision,Mathematical optimization,Blind deconvolution,Projection method,Lanczos algorithm,Artificial intelligence,Coordinate descent,Image restoration,Point spread function,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
15 | null | 1070-9908 |
Citations | PageRank | References |
7 | 0.45 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Hao | 1 | 46 | 9.48 |
| Jianpo Gao | 2 | 7 | 0.45 |
| Zhenyang Wu | 3 | 154 | 17.52 |