@inproceedings{b0cf9abc71714334b028f75f78662a9a,
title = "Histogram derived penalty functions in gradient-based optical tomography",
abstract = "It is well known that the image reconstruction problem in optical tomography is ill-posed. In this work we approach the problem within a gradient-based image iterative reconstruction (G11R) scheme. The reconstruction is considered as a minimization of an objective function. This function can be separated into a least-square-error term, which compares predicted and actual detector readings, and additional penalty terms that contain a priori information about the system. In this work penalty functions are considered that are derived from full or partial knowledge of the histogram of the image to be reconstructed.",
author = "Hielscher, {A. H.} and S. Bartel",
note = "Publisher Copyright: {\textcopyright} 1999 Optical Society of America.; Biomedical Optical Spectroscopy and Diagnostics, BOSD 2000 ; Conference date: 02-04-2000",
year = "2000",
language = "English (US)",
series = "Optics InfoBase Conference Papers",
publisher = "Optica Publishing Group (formerly OSA)",
pages = "154--156",
booktitle = "Biomedical Optical Spectroscopy and Diagnostics, BOSD 2000",
}