Sub-pixel layout for super-resolution with images in the octic group

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Abstract

This paper presents a novel super-resolution framework by exploring the properties of non-conventional pixel layouts and shapes. We show that recording multiple images, transformed in the octic group, with a sensor of asymmetric sub-pixel layout increases the spatial sampling compared to a conventional sensor with a rectilinear grid of pixels and hence increases the image resolution. We further prove a theoretical bound for achieving well-posed super-resolution with a designated magnification factor w.r.t. the number and distribution of sub-pixels. We also propose strategies for selecting good sub-pixel layouts and effective super-resolution algorithms for our setup. The experimental results validate the proposed theory and solution, which have the potential to guide the future CCD layout design with super-resolution functionality. © 2014 Springer International Publishing.

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Shi, B., Zhao, H., Ben-Ezra, M., Yeung, S. K., Fernandez-Cull, C., Shepard, R. H., … Raskar, R. (2014). Sub-pixel layout for super-resolution with images in the octic group. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8689 LNCS, pp. 250–264). Springer Verlag. https://doi.org/10.1007/978-3-319-10590-1_17

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