TY - GEN
T1 - An adaptive algorithm for phase retrieval from high intensity images
AU - Avidor, Gilad
AU - Gur, Eran
PY - 2010
Y1 - 2010
N2 - In this paper, we present an adaptive Gerchberg-Saxton algorithm for phase retrieval. One of the drawbacks of the original Gerchberg-Saxton algorithm is the poor results it yields for very bright images. In this paper we demonstrate how a dynamic phase retrieval approach can improve the correlation between the required image and the reconstructed image by up to 10 percent. The paper gives explicit explanations to the principle behind the algorithm and shows experimental results to support the dynamic approach.
AB - In this paper, we present an adaptive Gerchberg-Saxton algorithm for phase retrieval. One of the drawbacks of the original Gerchberg-Saxton algorithm is the poor results it yields for very bright images. In this paper we demonstrate how a dynamic phase retrieval approach can improve the correlation between the required image and the reconstructed image by up to 10 percent. The paper gives explicit explanations to the principle behind the algorithm and shows experimental results to support the dynamic approach.
KW - Image processing applications
KW - Image processing theory
KW - Image processing tools
KW - Template
KW - Typesetting
UR - http://www.scopus.com/inward/record.url?scp=78049496033&partnerID=8YFLogxK
U2 - 10.1109/ipta.2010.5586791
DO - 10.1109/ipta.2010.5586791
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AN - SCOPUS:78049496033
SN - 9781424472482
T3 - 2010 2nd International Conference on Image Processing Theory, Tools and Applications, IPTA 2010
SP - 225
EP - 228
BT - 2010 2nd International Conference on Image Processing Theory, Tools and Applications, IPTA 2010
T2 - 2010 2nd International Conference on Image Processing Theory, Tools and Applications, IPTA 2010
Y2 - 7 July 2010 through 10 July 2010
ER -