Title :
Compressed sensing phase retrieval
Author :
Fannjiang, Albert ; Liao, Wenjing
Author_Institution :
Dept. of Math., UC Davis, Davis, CA, USA
Abstract :
Theory of absolute uniqueness for phase retrieval with random illumination is presented. Suitable random illumination eliminates all sources of ambiguity, trivial and nontrivial. As a result, random-illumination-aided phase retrieval algorithms can accurately recover objects with a below-Nyquist sampling rate close to the minimum and reduce the number of iterations by order of magnitude.
Keywords :
compressed sensing; image sampling; absolute uniqueness theory; below-Nyquist sampling rate; compressed sensing phase retrieval; random illumination-aided phase retrieval algorithm; Compressed sensing; Correlation; Image reconstruction; Imaging; Lighting; Optimized production technology; Random variables;
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4673-0321-7
DOI :
10.1109/ACSSC.2011.6190102
