Modified projected landweber super-resolution algorithms for passive millimeter wave imaging

In this paper, we present a modified projected Landweber super-resolution algorithm for resolution enhancement of passive millimeter wave images. In this algorithm, we implement the Landweber iterations as the main image restoration scheme, and a projection-based adjustment for enforcing constraints...

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Bibliographic Details
Main Authors: Xin Zheng, Jianyu Yang, Liangchao Li, Zhengmao Jiang
Format: Conference Proceeding
Language:English
Subjects:
Convergence
Image resolution
Image restoration
Imaging
Mathematical model
Signal resolution
Spatial resolution
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Summary:In this paper, we present a modified projected Landweber super-resolution algorithm for resolution enhancement of passive millimeter wave images. In this algorithm, we implement the Landweber iterations as the main image restoration scheme, and a projection-based adjustment for enforcing constraints after each Landweber iteration is completed to complete spectral extrapolation, lastly we implement a spatial spectrum correction method in which the calculated spectrum within the passband is replaced by the known low frequency component and the resolution is further improved. A qualitative evaluation of this algorithm is performed with simulated data as well as actual radiometer image captured by 91.5 GHz mechanically scanned radiometer. From experiments, we find that the proposed super-resolution algorithm obtains better results and enhance the resolution and has lower mean square error (MSE).
DOI:10.1109/ICCCAS.2008.4657889