Paper
21 May 2004 Design and optimization of computational imaging systems
Author Affiliations +
Proceedings Volume 5299, Computational Imaging II; (2004) https://doi.org/10.1117/12.526918
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
A new methodology, called Wavefront Coding, allows the joint optimization of optics, mechanics, detection and signal processing of computational imaging systems. This methodology gives the system designer access to a large design trade space. This trade space can be exploited to enable the design of imaging systems that can image with high quality, with fewer physical components, lighter weight, and less cost compared to traditional optics. This methodology is described through an example conformal single lens IR imaging system. The example system demonstrates a 50% reduction in physical components, and an approximate 45% reduction in weight compared to a traditional two lens system.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Edward R. Dowski Jr. and Kenneth Kubala "Design and optimization of computational imaging systems", Proc. SPIE 5299, Computational Imaging II, (21 May 2004); https://doi.org/10.1117/12.526918
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Imaging systems

Signal processing

Modulation transfer functions

Point spread functions

Wavefronts

Optical design

Sensors

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