| 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. | ||
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