| Paper: | IMDSP-P2.7 | ||
| Session: | Restoration | ||
| Time: | Tuesday, May 18, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Image and Video Filtering | ||
| Title: | RESOLUTION ENHANCEMENT OF VIDEO SEQUENCES WITH ADAPTIVELY WEIGHTED LOW-RESOLUTION IMAGES AND SIMULTANEOUS ESTIMATION OF THE REGULARIZATION PARAMETER | ||
| Authors: | Hu He; State University of New York at Buffalo | ||
| Lisimachos P. Kondi; State University of New York at Buffalo | |||
| Abstract: | In many imaging systems, the resolution of the detector array of the camera is not sufficiently high for a particular application. Furthermore, the capturing process introduces additive noise and the point spread function of the lens and the effects of the finite size of the photo-detectors further degrade the acquired video frames. The goal of resolution enhancement is to estimate a high-resolution image from a sequence of low-resolution images while also compensating for the above-mentioned degradations. In this paper, we propose a technique for image resolution enhancement with adaptively weighted low-resolution images (channels) and simultaneous estimation of the regularization parameter. The weight coefficients work as the cross-channel fidelity to each low-resolution image, while the regularization parameter acts as the within-channel balance between data and prior model for each channel. Experimental results are presented and conclusions are drawn. | ||
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