Name
Abstract | ||
|---|---|---|
We consider the problem of super-resolution from unregistered aliased images with unknown spatial scaling factors and shifts. Due to the limitation of pixel size in the image sensor, the sampling rate for each image is lower than the Nyquist rate of the scene. Thus, we have aliasing in captured images, which makes it hard to register the low-resolution images and then generate a high-resolution image. To work out this problem, we formulate it as a multichannel sampling and reconstruction problem with unknown parameters, spatial scaling factors and shifts. We can estimate the unknown parameters and then reconstruct the high-resolution image by solving a nonlinear least square problem using the variable projection method. Experiments with synthesized 1-D signals and 2-D images show the effectiveness of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICASSP.2012.6288019 | ICASSP |
Keywords | Field | DocType |
pixel size,synthesized 1d signals,image sensor,high-resolution image reconstruction problem,2d images,variable projection method,image resolution,image sampling rate,spatial scaling shift,multichannel sampling,unregistered aliased image superresolution,low-resolution image registration,image reconstruction,least squares approximations,image sensors,image sampling,nyquist rate,nonlinear least squares,nonlinear least square problem,multichannel image sampling,image registration,unknown spatial scaling factors,super-resolution imaging,signal to noise ratio,imaging,spatial resolution | Iterative reconstruction,Computer vision,Mathematical optimization,Image sensor,Computer science,Sampling (signal processing),Aliasing,Pixel,Artificial intelligence,Nyquist rate,Image resolution,Image registration | Conference |
Volume | Issue | ISSN |
null | null | 1520-6149 E-ISBN : 978-1-4673-0044-5 |
ISBN | Citations | PageRank |
978-1-4673-0044-5 | 2 | 0.40 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| YiGang Peng | 1 | 451 | 14.87 |
| Feng Yang | 2 | 86 | 11.70 |
| Qionghai Dai | 3 | 3904 | 215.66 |
| Wenli Xu | 4 | 1327 | 63.69 |
| Martin Vetterli | 5 | 13926 | 2397.68 |