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Proceedings Paper

Adaptive projected Landweber super-resolution algorithm for passive millimeter wave imaging
Author(s): Xin Zheng; Jianyu Yang
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Paper Abstract

In passive millimeter wave (PMMW) imaging, antenna size limitations lead to the problem of poor resolution of acquired image. Thus efficient post-processing is necessary to achieve resolution improvement. In this paper, we present an Adaptive Porjected Landweber super-resolution algorithm that attempts to leverage the strong points of both Landweber iteration and projection-based adjustments. In the algorithm, we implement the Landweber iterations as the main image restoration scheme and include a projection-based adjustment for enforcing constraints after each Landweber iteration is completed. Furthermore, the algorithm updates the parameter adaptively at each iteration. From experiments, we find that the Adaptive Projected Landweber superresolution algorithm obtains better results and has lower mean square error (MSE) and produces sharper images. These constraints and adaptive characters speed up the convergence of the Landweber algorithm.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67871K (15 November 2007); doi: 10.1117/12.749949
Show Author Affiliations
Xin Zheng, Univ. of Electronic Science and Technology of China (China)
Jianyu Yang, Univ. of Electronic Science and Technology of China (China)

Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing
Henri Maître; Hong Sun; Jianguo Liu; Enmin Song, Editor(s)

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