Abstract
A spectral imaging system may efficiently sense 10-100 spectral channels but the full data cube is often redundant. We propose to exploit this redundancy to computationally expand depth of field or obtain multidimensional spatial images.
© 2007 Optical Society of America
PDF ArticleMore Like This
Daniel Smith, Shivasubramanian Gopinath, Soon Hock Ng, Tomas Katkus, Dhanalakshmi Renganathan, Srinivasan Navaneethakrishnan, Saulius Juodkazis, and Vijayakumar Anand
JW2A.16 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2022
David J. Brady, Renu John, Michael Gehm, Timothy Schulz, and Rebecca Willett
CMC1 Computational Optical Sensing and Imaging (COSI) 2007
Ryoichi Horisaki and Jun Tanida
15p_2F_7 JSAP-OSA Joint Symposia (JSAP) 2015