Subpixel boundary backward substitution reconstruction algorithm for not uniform microscan to FPA and blind micromotion matching

Yi-nan Chen; Wei-qi Jin; Lei Zhao; Mei-jing Gao; Lin Zhao

doi:10.1117/12.754499

8 January 2008 Subpixel boundary backward substitution reconstruction algorithm for not uniform microscan to FPA and blind micromotion matching

Yi-nan Chen, Wei-qi Jin, Lei Zhao, Mei-jing Gao, Lin Zhao

Author Affiliations +

Proceedings Volume 6835, Infrared Materials, Devices, and Applications; 68350O (2008) https://doi.org/10.1117/12.754499
Event: Photonics Asia 2007, 2007, Beijing, China

Abstract

For the subpixel micro-scanning imaging, we propose the reconstruction algorithm based on neither interpolation nor super-resolution idea but one of the block-by-block method recursive from the boundary to centre when additional narrowband boundary view-field diaphragm whose radiation is known a prior. The aim of the predicted boundary value is to add the conditions for solving the ununiqueness ill-problem to the inverse transition matrix from the destructed process. For the non-uniform scan factor, the improved algorithm associated with certain non-uniform motion variables is proposed. Additionally, attention is focused on the case of unknown subpixel motion, when the reconstructed images are blurred by motion parameter modulation and neighbouring point aliasing because the value of micro-motion is not the correct one. Unlike other methods that the image registration is accomplished before multi-frame restoration from undersampled sequences frame by frame, in this paper, 2-D motion vector is estimated in single frame just from the blur character of reconstructed grids. We demonstrate that once the estimated motion approaches to the real one, square summation of all pixels over the unmatched image approximately descends to the minimum. The matching track based on recursive Newton secant approaching is optimized for high matching speed and precision by different strategies, including matching region hunting, matching direction choosing and convergence prejudgement. All iterative step lengths with respect to motion parameters are substituted by the suitable values derived from the statistic process and one or multi-secant solution. The simulations demonstrate the feasibility of the matching algorithm and the obvious resolution enhancement compared to the direct oversampling image.

Citation Download Citation

Yi-nan Chen, Wei-qi Jin, Lei Zhao, Mei-jing Gao, and Lin Zhao "Subpixel boundary backward substitution reconstruction algorithm for not uniform microscan to FPA and blind micromotion matching", Proc. SPIE 6835, Infrared Materials, Devices, and Applications, 68350O (8 January 2008); https://doi.org/10.1117/12.754499

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KEYWORDS

Image resolution

Motion estimation

Reconstruction algorithms

Sensors

Staring arrays

Computer simulations

Image processing

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