Abstract
Super-resolution estimates a high-resolution image from a set of observed low-resolution images of the same scene. We formulate the estimation process as a regularized minimization problem and compare its solution, in terms of effectiveness and accuracy, with a fast super-resolution method developed recently in [1]. Results of numerical simulations are presented.
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Bannore, V., Swierkowski, L. (2007). Search for a Computationally Efficient Image Super-Resolution Algorithm. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_63
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DOI: https://doi.org/10.1007/978-3-540-74819-9_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74817-5
Online ISBN: 978-3-540-74819-9
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