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