Selective-imaging camera

Harold Szu; Charles Hsu; Joseph Landa; Jae H. Cha; Keith A. Krapels

doi:10.1117/12.2176093

2 June 2015 Selective-imaging camera

Harold Szu, Charles Hsu, Joseph Landa, Jae H. Cha, Keith A. Krapels

Proceedings Volume 9496, Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII; 94960H (2015) https://doi.org/10.1117/12.2176093
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

Abstract

How can we design cameras that image selectively in Full Electro-Magnetic (FEM) spectra? Without selective imaging, we cannot use, for example, ordinary tourist cameras to see through fire, smoke, or other obscurants contributing to creating a Visually Degraded Environment (VDE). This paper addresses a possible new design of selective-imaging cameras at firmware level. The design is consistent with physics of the irreversible thermodynamics of Boltzmann’s molecular entropy. It enables imaging in appropriate FEM spectra for sensing through the VDE, and displaying in color spectra for Human Visual System (HVS). We sense within the spectra the largest entropy value of obscurants such as fire, smoke, etc. Then we apply a smart firmware implementation of Blind Sources Separation (BSS) to separate all entropy sources associated with specific Kelvin temperatures. Finally, we recompose the scene using specific RGB colors constrained by the HVS, by up/down shifting Planck spectra at each pixel and time.

Citation Download Citation

Harold Szu, Charles Hsu, Joseph Landa, Jae H. Cha, and Keith A. Krapels "Selective-imaging camera", Proc. SPIE 9496, Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII, 94960H (2 June 2015); https://doi.org/10.1117/12.2176093

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