Pixel-level image reconstruction method of polarization images acquired by multi-aperture imaging systems

Pingli Han; Fei Liu; Xiaopeng Shao

doi:10.1117/12.2053099

22 May 2014 Pixel-level image reconstruction method of polarization images acquired by multi-aperture imaging systems

Pingli Han, Fei Liu, Xiaopeng Shao

Proceedings Volume 9124, Satellite Data Compression, Communications, and Processing X; 91241E (2014) https://doi.org/10.1117/12.2053099
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

To acquire high-resolution IR polarization images, a pixel-level image reconstruction method was introduced. It was aimed at IR polarization imaging systems employing multi-aperture principle. The geometric mapping relation between images was firstly studied and was basis of this method. Parameters of the mapping relation were calculated, and then pixels of each image obtained were mapped to a virtual digital plane at which precise and resolution enhanced polarization images could be obtained by taking advantage of the pixel deviation and rearranging the pixels. Experimental results demonstrated that the algorithm could assist the multi-aperture imaging system in rendering easily precise and high-resolution polarization images.

Citation Download Citation

Pingli Han, Fei Liu, and Xiaopeng Shao "Pixel-level image reconstruction method of polarization images acquired by multi-aperture imaging systems", Proc. SPIE 9124, Satellite Data Compression, Communications, and Processing X, 91241E (22 May 2014); https://doi.org/10.1117/12.2053099

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