Diffuse imaging: Replacing lenses and mirrors with omnitemporal cameras
Author(s)Kirmani, Ahmed; Jeelani, Haris; Montazerhodjat, Vahid; Goyal, Vivek K.
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Conventional imaging uses steady-state illumination and light sensing with focusing optics; variations of the light field with time are not exploited. We develop a signal processing framework for estimating the reflectance f of a Lambertian planar surface in a known position using omnidirectional, time-varying illumination and unfocused, time-resolved sensing in place of traditional optical elements such as lenses and mirrors. Our model associates time sampling of the intensity of light incident at each sensor with a linear functional of f. The discrete-time samples are processed to obtain ℓ2-regularized estimates of f. Using non-impulsive, bandlimited light sources instead of impulsive illumination significantly improves signal-to-noise ratio (SNR) and reconstruction quality.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of Electronics
Wavelets and Sparsity XIV, Conference 2011
Society of Photo-optical Instrumentation Engineers
Kirmani, Ahmed et al. “Diffuse Imaging: Replacing Lenses and Mirrors with Omnitemporal Cameras.” Wavelets and Sparsity XIV Conference, August 21, 2011, San Diego, California, USA (Proc. SPIE 8138), 2011. 81380O–81380O–6. Web.
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