Computing light statistics in heterogeneous media based on a mass weighted probability density function method
JOSA A, Vol. 24, Issue 8, pp. 2206-2219 (2007)
http://dx.doi.org/10.1364/JOSAA.24.002206
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Abstract
Based on the transport theory, we present a modeling approach to light scattering in turbid material. It uses an efficient and general statistical description of the material’s scattering and absorption behavior. The model estimates the spatial distribution of intensity and the flow direction of radiation, both of which are required, e.g., for adaptable predictions of the appearance of colors in halftone prints. This is achieved by employing a computational particle method, which solves a model equation for the probability density function of photon positions and propagation directions. In this framework, each computational particle represents a finite probability of finding a photon in a corresponding state, including properties like wavelength. Model evaluations and verifications conclude the discussion.
© 2007 Optical Society of America
OCIS Codes
(000.4430) General : Numerical approximation and analysis
(030.5290) Coherence and statistical optics : Photon statistics
(030.5620) Coherence and statistical optics : Radiative transfer
(100.2810) Image processing : Halftone image reproduction
(290.1990) Scattering : Diffusion
(290.7050) Scattering : Turbid media
ToC Category:
Image Processing
History
Original Manuscript: November 6, 2006
Revised Manuscript: February 7, 2007
Manuscript Accepted: February 26, 2007
Published: July 11, 2007
Virtual Issues
Vol. 2, Iss. 9 Virtual Journal for Biomedical Optics
Citation
Patrick Jenny, Safer Mourad, Tobias Stamm, Markus Vöge, and Klaus Simon, "Computing light statistics in heterogeneous media based on a mass weighted probability density function method," J. Opt. Soc. Am. A 24, 2206-2219 (2007)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=josaa-24-8-2206
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