Abstract
We present a signomial programming optimization approach to restore binary images which are degraded by additive white Gaussian noise. Numerical experiments confirm the proposed approach is efficient with good accuracy.
© 2007 Optical Society of America
PDF ArticleMore Like This
Premchandra Shankar and Mark Neifeld
CTuC5 Computational Optical Sensing and Imaging (COSI) 2007
Zhiying Wen, Donald Fraser, and Andrew Lambert
STuC7 Signal Recovery and Synthesis (SRS) 2009
David A. Carrara, Richard G. Paxman, Daniel A. LeMaster, and Russell C. Hardie
PM1C.5 Propagation Through and Characterization of Atmospheric and Oceanic Phenomena (pcAOP) 2019