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Proceedings Paper

GP-grid image interpolation and denoising for division of focal plane sensors
Author(s): Elad Gilboa; John P. Cunningham; Arye Nehorai; Viktor Gruev
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Paper Abstract

Image interpolation and denoising are important techniques in image processing. Recently, there has been a growing interest in the use of Gaussian processes (GP) regression for interpolation and denoising of image data. However, exact GP regression suffers from 0 (N3) runtime for data size N, making it intractable for image data. Our GP-grid algorithm reduces the runtime complexity of GP from 0 (N3) to 0 (N312). We provide comprehensive mathematical model as well as experimental results of the GP interpolation performance for division of focal plane polarimeter. The GP interpolation method outperforms the commonly used bilinear interpolation method for polarimeters.

Paper Details

Date Published: 21 May 2014
PDF: 6 pages
Proc. SPIE 9099, Polarization: Measurement, Analysis, and Remote Sensing XI, 909905 (21 May 2014); doi: 10.1117/12.2050615
Show Author Affiliations
Elad Gilboa, Washington Univ. in St. Louis (United States)
John P. Cunningham, Columbia Univ. (United States)
Arye Nehorai, Washington Univ. in St. Louis (United States)
Viktor Gruev, Washington Univ. in St. Louis (United States)


Published in SPIE Proceedings Vol. 9099:
Polarization: Measurement, Analysis, and Remote Sensing XI
David B. Chenault; Dennis H. Goldstein, Editor(s)

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