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http://hdl.handle.net/1942/11695
Title: | Video Super-Resolution Using High Quality Photographs | Authors: | ANCUTI, Cosmin ANCUTI, Codruta BEKAERT, Philippe |
Issue Date: | 2010 | Publisher: | IEEE | Source: | Proceedings of the 35th IEEE International Conference on Acoustics, Speech, and Signal Processing ((IEEE ICASSP 2010)). p. 862-865. | Abstract: | This paper introduces a technique that increases the spatial resolution of a given video. The method is built on the fundamentals of super-resolution techniques that aim to reconstruct high-resolution frames from a low-resolution input sequence. Different than classical super-resolution methods, besides using the information of adjacent frames, we take advantage of several reference high quality (resolution) photographs of the same scene. The method is purely image-based, and does not require depth estimation. The additional information extracted from the reference photographs is used to construct several high resolution seed frames added with a constant step in the initial video sequence. Therefore, the seed frames but also the adjacent low-resolution frames provide important information to define priors that are considered in the probabilistic interpretation of the generative model. The estimated solution is obtained based on a standard maximum a posteriori (MAP) approach. Objective tests on real and synthetic video sequences demonstrate the utility and the benefits of the proposed technique over related methods. | Document URI: | http://hdl.handle.net/1942/11695 | ISBN: | 978-1-4244-4295-9 | DOI: | 10.1109/ICASSP.2010.5495223 | ISI #: | 000287096000203 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2012 |
Appears in Collections: | Research publications |
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