APSIPA Transactions on Signal and Information Processing > Vol 6 > Issue 1

Toward a signal-processing foundation for computational sensing and imaging: electro-optical basis and merit functions

Industrial Technology Advances

David G. Stork, Rambus Labs, USA, dstork@rambus.com
 
Suggested Citation
David G. Stork (2017), "Toward a signal-processing foundation for computational sensing and imaging: electro-optical basis and merit functions", APSIPA Transactions on Signal and Information Processing: Vol. 6: No. 1, e8. http://dx.doi.org/10.1017/ATSIP.2017.6

Publication Date: 01 Aug 2017
© 2017 David G. Stork
 
Subjects
 
Keywords
Computational imaging, Digital-optical basis functions, Two-dimensional wavelet transform, Zernike polynomials, Stephenson polynomials, Strehl ratio, Struve ratio, Rayleigh criterion, Modulation transfer function, Optical transfer function, Digital-optical design software
 

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Journal details

Open Access

This is published under the terms of the Creative Commons Attribution licence.

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In this article:
I. INTRODUCTION 
II. BRIEF HISTORY OF MERIT AND BASIS FUNCTIONS IN OPTICS AND IMAGE PROCESSING 
III. FOUNDATIONS FOR COMPUTATIONAL IMAGING 
IV. Mathematical and computational approach 
V. CONCLUSIONS 

Abstract

We highlight the need for – and describe initial strategies to find – new digital-optical basis functions and performance merit functions to serve as a foundation for designing, analyzing, characterizing, testing, and comparing a range of computational imaging systems. Such functions will provide a firm theoretical foundation for computational sensing and imaging and enhanced design software, thereby broadly speeding the development of computational imaging systems.

DOI:10.1017/ATSIP.2017.6