Diffuse Imaging: Creating Optical Images With Unfocused Time-Resolved Illumination and Sensing

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 of a Lambertian planar surface in a known position using omnidirectional, tim...

Full description

Saved in:
Bibliographic Details
Published in:IEEE signal processing letters 2012-01, Vol.19 (1), p.31-34
Main Authors: Kirmani, Ahmed, Jeelani, Haris, Montazerhodjat, Vahid, Goyal, Vivek K
Format: Article
Language:English
Subjects:
Light sources
Light transport
Optical imaging
Optical sensors
Optical signal processing
quantization
reflectance
Reflectivity
resolution
sampling
time of flight
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
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 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 . The discrete-time samples are processed to obtain -regularized estimates of . Improving on previous work, using nonimpulsive, bandlimited light sources instead of impulsive illumination significantly improves signal-to-noise ratio (SNR) and reconstruction quality. Our simulations suggest that practical diffuse imaging applications may be realized with commercially-available temporal light intensity modulators and sensors used in standard optical communication systems.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2011.2174222