Computational imaging system with outdoor natural light based on Hadamard transform and compressive sensing

YanPeng Ma; HongXing Qi; Rong Shu

doi:10.1117/12.2073975

26 November 2014 Computational imaging system with outdoor natural light based on Hadamard transform and compressive sensing

YanPeng Ma, HongXing Qi, Rong Shu

Author Affiliations +

Proceedings Volume 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V; 92632D (2014) https://doi.org/10.1117/12.2073975
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

This paper describes a single-pixel-detection computational imaging approach using outdoor natural light. We produced an imaging prototype based on digital micro mirror (DMD).The prototype is equivalent to an optical computing system. Measurement of the input scene through band pass filter is equivalent to projective measurement in the transform domain, and hence can be treated with the Hadamard Transform or the Compressive Sensing frameworks recently developed by a number of groups. Computational imaging system offers a versatile approach to detect images' signal which can improve size, weight and easily controllable compared with traditional imaging approaches. Finally, we conducted some indoor and outdoor experiments for our imaging prototype, and also analyzed the differences between Hadamard Transform imaging and compressive sensing imaging.

Citation Download Citation

YanPeng Ma, HongXing Qi, and Rong Shu "Computational imaging system with outdoor natural light based on Hadamard transform and compressive sensing", Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 92632D (26 November 2014); https://doi.org/10.1117/12.2073975

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