Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
| Paper: | IMDSP-P2.4 |
| Session: | Restoration |
| Time: | Tuesday, May 18, 13:00 - 15:00 |
| Presentation: |
Poster |
| Topic: |
Image and Multidimensional Signal Processing: Image and Video Filtering |
| Title: |
IMAGE RESTORATION BASED ON CONSTRAINED TOTAL LEAST SQUARES |
| Authors: |
Xiangchao Gan; City University of Hong Kong | | |
| | Alan Wee-Chung Liew; City University of Hong Kong | | |
| | Hong Yan; City University of Hong Kong, China / University of Sydney | | |
| Abstract: |
In constrained total least squares algorithm (CTLS), the selection of a minimal algebraic set of linearly independent random variables to express the noise matrix is an important task. In this paper, A fast algorithm is provided using the possibly dependent random variables set. We showed that it can be viewed as a combination of Mesarovic et al’s CTLS method and RLS method when the noise is Gaussian. Our experimental study indicated that our algorithm has better visual and objective quality, while having a much lower computation cost. Moreover, our algorithm can also handle a more general noise model. |
| |
| Back | |