Abstract
Super-resolution (SR) is a class of techniques that enhance the resolution of an imaging system by combining complimentary information from several images to produce high resolution images of a subject. Fast non-iterative and iterative algorithms are described in this article. The metrics to compare the images are investigated also. In conclusion shows the comparative results of these methods. Test results showed good practical applicability of the developed algorithms.
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Agafonov, V. (2014). Super-Resolution Approach to Increasing the Resolution of Image. In: Kravets, A., Shcherbakov, M., Kultsova, M., Iijima, T. (eds) Knowledge-Based Software Engineering. JCKBSE 2014. Communications in Computer and Information Science, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-319-11854-3_29
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DOI: https://doi.org/10.1007/978-3-319-11854-3_29
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11853-6
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