6 September 2012 Noise-optimal capture for coded exposure photography
Kuihua Huang, Jun Zhang, Guohui Li
Author Affiliations +
Abstract
Searching for the optimal shutter sequence is the key problem in coded exposure photography. Previous shutter sequence searching methods focus on the point spread function estimation and invertibility, and ignore the influence of the scene light level or avoid noise calibration of real cameras. For practical purposes, we address the problem of finding an optimal shutter sequence for coded exposure photography in the presence of photon noise. We analyze the effect of photon noise on the optimal shutter sequence in terms of deconvolution noise and derive analytic formulas. We show that Raskar's code is a special case of our analysis. Based on noise calibration of the coded exposure camera, an effective fitness function is proposed, and using our carefully designed genetic algorithm, we obtain the optimal shutter sequence with little running time. Experimental results with synthetic and real data demonstrate the advantage of our approach compared to the state of the art approach.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Kuihua Huang, Jun Zhang, and Guohui Li "Noise-optimal capture for coded exposure photography," Optical Engineering 51(9), 093202 (6 September 2012). https://doi.org/10.1117/1.OE.51.9.093202
Published: 6 September 2012
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Camera shutters

Signal to noise ratio

Photography

Interference (communication)

Cameras

Calibration

Deconvolution

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