Diffuse imaging: Replacing lenses and mirrors with omnitemporal cameras
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, t...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Society of Photo-optical Instrumentation Engineers
2012
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| Online Access: | http://hdl.handle.net/1721.1/71839 https://orcid.org/0000-0001-8735-3631 |
| Summary: | 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. |
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