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Proceedings Paper

Digital zoom algorithm with context derived basis functions
Author(s): H. C. Schau
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Paper Abstract

One of the goals of superresultion has been to achieve interpolation in excess of some externally imposed physical constraint. Initially it was the optical diffraction limit while the Nyquist Limit of sampled data systems has also become a more recent issue. Regardless of the setting, the limitations are the same; there generally is not enough available degrees of freedom to perform an interpolation without severe loss of information. While some success has been achieved in superresolution, magnification is generally limited to less than 2. In this paper we present a method where context based basis functions are developed for digital zoom where the magnifications were assumed to be greater that 2. The number of degrees of freedom are still less than the number formally required, because the basis functions are developed for scenes similar to scenes presented for interpolation, they are more efficient than those developed without regard to context. The technique is presented together with several still images and video examples of digital zoom for a magnification of 5 and 10. Results are compared with conventional B-Cubic Spline interpolation. Parallelization of the technique with graphic processors is discussed toward its real time implementation.

Paper Details

Date Published: 11 May 2011
PDF: 10 pages
Proc. SPIE 8056, Visual Information Processing XX, 80560B (11 May 2011); doi: 10.1117/12.881650
Show Author Affiliations
H. C. Schau, Meridian Systems LLC (United States)

Published in SPIE Proceedings Vol. 8056:
Visual Information Processing XX
Zia-ur Rahman; Stephen E. Reichenbach; Mark Allen Neifeld, Editor(s)

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