Diffuse imaging: replacing lenses and mirrors with omnitemporal cameras

Ahmed Kirmani; Haris Jeelani; Vahid Montazerhodjat; Vivek K. Goyal

doi:10.1117/12.896718

27 September 2011 Diffuse imaging: replacing lenses and mirrors with omnitemporal cameras

Ahmed Kirmani, Haris Jeelani, Vahid Montazerhodjat, Vivek K. Goyal

Author Affiliations +

Proceedings Volume 8138, Wavelets and Sparsity XIV; 81380O (2011) https://doi.org/10.1117/12.896718
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.896718

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE