Natural algorithms for image and video enhancement

Madhuri Suthar; Bahram Jalali

doi:10.1117/12.2577315

5 March 2021 Natural algorithms for image and video enhancement

Madhuri Suthar, Bahram Jalali

Author Affiliations +

Proceedings Volume 11703, AI and Optical Data Sciences II; 1170315 (2021) https://doi.org/10.1117/12.2577315
Event: SPIE OPTO, 2021, Online Only

Abstract

Through evolution, nature has developed the most energy efficient method for achieving a certain goal. In contrast to the traditional hand-crafted algorithms pervasive in computational imaging, our approach takes inspiration from nature, and in particular optical physics, to craft qualitatively new algorithms. Here, we show that propagation of light through an optical medium has properties that can be exploited for development of a new class of image and video enhancement algorithms that offer unprecedented improvements in performance over conventional counterparts. In certain cases, these algorithms also have the potential to be implemented physically compared to synthetically fashioned computational techniques in practice today.

Conference Presentation

Citation Download Citation

Madhuri Suthar and Bahram Jalali "Natural algorithms for image and video enhancement", Proc. SPIE 11703, AI and Optical Data Sciences II, 1170315 (5 March 2021); https://doi.org/10.1117/12.2577315

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