DocumentCode :
382007
Title :
A statistical analysis of diffraction-limited imaging
Author :
Milanfar, Peyman ; Shakouri, Ali
Author_Institution :
Electr. Eng. Dept., California Univ., Santa Cruz, CA, USA
Volume :
1
fYear :
2002
fDate :
2002
Abstract :
The Rayleigh criterion is generally regarded as a fundamental limit and due to its practical accuracy in predicting the performance of optical imaging systems, it has unfortunately become accepted as a de-facto physical law. We show that this limit is simply a very good rule of thumb, which under proper conditions typically related to the signal-to-noise (SNR) of the sensor, can be overcome. While we do not discuss specific methodology for improving resolution, it is the aim of this work to explore how far beyond the Rayleigh limit one can go, and to identify the theoretical limits to such resolution enhancement.
Keywords :
image resolution; light diffraction; noise; optical images; statistical analysis; GLRT; MLE; Rayleigh criterion; Rayleigh limit; diffraction-limited imaging; generalized likelihood ratio testing; maximum likelihood estimation; optical imaging systems; physical law; resolution enhancement; sensor SNR; signal-to-noise; statistical analysis; Accuracy; Focusing; Image resolution; Noise measurement; Optical diffraction; Optical imaging; Signal processing; Signal resolution; Statistical analysis; Thumb;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-7622-6
Type :
conf
DOI :
10.1109/ICIP.2002.1038162
Filename :
1038162
Link To Document :
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