Abstract
We propose an automatic adaptive approach to enhance the spatial resolution of an image sequence that allows different regions of the scene to be treated differently based on the content. Experimental results have shown its promise to avoid artifacts that otherwise might result from treating all regions of the scene in the same way during the resolution enhancement process. Moreover, it is able to dynamically tailor the image resolution enhancement process in an intelligent way. In particular, it can deploy processing resources to different regions of the scene at varying computational intensity levels to achieve high quality resolution enhancement in an efficient way.
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© 2004 Springer-Verlag Berlin Heidelberg
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Chen, M. (2004). Dynamic Content Adaptive Super-Resolution. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30125-7_28
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DOI: https://doi.org/10.1007/978-3-540-30125-7_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23223-0
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