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Please use this identifier to cite or link to this item: 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
Citation: 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.
URI: http://hdl.handle.net/1942/11695
DOI: 10.1109/ICASSP.2010.5495223
ISI #: 000287096000203
ISBN: 978-1-4244-4295-9
ISSN: 1520-6149
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2012
Appears in Collections: Research publications

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