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27 September 2011 Diffuse imaging: replacing lenses and mirrors with omnitemporal cameras
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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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ahmed Kirmani, Haris Jeelani, Vahid Montazerhodjat, and Vivek K. Goyal "Diffuse imaging: replacing lenses and mirrors with omnitemporal cameras", Proc. SPIE 8138, Wavelets and Sparsity XIV, 81380O (27 September 2011);

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