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Short Summary
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When multiple light paths combine at a given location on an image sensor, an image mixture is created. Demixing or recovering the original constituent components in such cases is a highly ill–posed problem. A number of elegant solutions have thus been developed in the literature, relying on measurement diversity such as polarization, shift, motion, or scene features. In this paper, we approach the image-mixing problem as a time–resolved phenomenon—if every photon arriving at the sensor could be time–stamped, the demixing problem would then amount to separating transient events in time. Based on this idea, we first show that, while acquiring measurements is prohibitive and challenging in the time domain, this task is surprisingly straightforward in the frequency domain.

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Code
Key Idea
Phase retreival approach to reflection cancelling cameras

Designed and Maintained by Ayush Bhandari

Keywords: Time-of-Flight, Low-cost, Image, Demixing, Source Separation, Image Processing, Depth Imaging, Calibration-free

Ayush.Bhandari@googlemail.com
E14-374H, 75 Amherst Street
MIT, Cambridge 02139. MA. USA

Massachusetts Institute of Technology

Microsoft Research

 Ayush Bhandari
Ramesh Raskar

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ICASSP 2016http://www.icassp2016.org/Papers/ViewPapers.asp?PaperNum=1092

Time-Resolved Image Demixing

Aurelien Bourquard
Shahram Izadi

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Can we undo reflections in images?

PaperImage_Demixing_files/Phase_Retreival_ToF_Imaging_v1.pdf