Superresolution image processing using an invertible sparse matrix
Aleksandr Petiushko Александр Петюшко,
Dmitry Babin,
Ivan Mazurenko,
Alexander Kholodenko
July, 2014
Abstract
Superresolution image processing that can be applied when two image frames of the same scene are available so that image information from one frame can be used to enhance the image from the other frame. The superresolution image processing uses a sparse matrix generated based on a Markov random field defined over these two image frames. The sparse matrix is inverted and applied to the image data from the image frame that is being enhanced to generate a corresponding enhanced image.
Sr. Director, Head of AI Research / Adjunct Professor / PhD
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