Can we beat Hadamard multiplexing? Data driven design and analysis for computational imaging systems

Kaushik Mitra, Oliver Strides Cossairt, Ashok Veeraraghavan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

Computational Imaging (CI) systems that exploit optical multiplexing and algorithmic demultiplexing have been shown to improve imaging performance in tasks such as motion deblurring, extended depth of field, light field and hyper-spectral imaging. Design and performance analysis of many of these approaches tend to ignore the role of image priors. It is well known that utilizing statistical image priors significantly improves demultiplexing performance. In this paper, we extend the Gaussian Mixture Model as a data-driven image prior (proposed by Mitra et. al [21]) to under-determined linear systems and study compressive CI methods such as light-field and hyper-spectral imaging. Further, we derive a novel algorithm for optimizing multiplexing matrices that simultaneously accounts for (a) sensor noise (b) image priors and (c) CI design constraints. We use our algorithm to design data-optimal multiplexing matrices for a variety of existing CI designs, and we use these matrices to analyze the performance of CI systems as a function of noise level. Our analysis gives new insight into the optimal performance of CI systems, and how this relates to the performance of classical multiplexing designs such as Hadamard matrices.

Original languageEnglish (US)
Title of host publication2014 IEEE International Conference on Computational Photography, ICCP 2014
PublisherIEEE Computer Society
ISBN (Print)9781479951888
DOIs
StatePublished - 2014
Event2014 6th IEEE International Conference on Computational Photography, ICCP 2014 - Santa Clara, CA, United States
Duration: May 2 2014May 4 2014

Publication series

Name2014 IEEE International Conference on Computational Photography, ICCP 2014

Other

Other2014 6th IEEE International Conference on Computational Photography, ICCP 2014
CountryUnited States
CitySanta Clara, CA
Period5/2/145/4/14

ASJC Scopus subject areas

  • Mathematics (miscellaneous)

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