Adaptive projected Landweber super-resolution algorithm for passive millimeter wave imaging

Xin Zheng; Jianyu Yang

doi:10.1117/12.749949

15 November 2007 Adaptive projected Landweber super-resolution algorithm for passive millimeter wave imaging

Xin Zheng, Jianyu Yang

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67871K (2007) https://doi.org/10.1117/12.749949
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Xin Zheng and Jianyu Yang "Adaptive projected Landweber super-resolution algorithm for passive millimeter wave imaging", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67871K (15 November 2007); https://doi.org/10.1117/12.749949

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