Abstract

This paper presents a new technique for measuring the location of point images in an image-sampling system. Primary attention is given to the situation in which the image is under sampled. Such under sampling could be the result of data-storage or bandwidth limitations, and would introduce errors into standard methods of image location. The new technique is valid for under-sampled as well as adequately sampled images, and consists of a linear-filtering procedure of the same complexity required by standard location-measurement techniques. The problem is formulated as one of statistical-estimation theory, the optimum-location procedures being derived for an additive-gaussian-noise environment, and for conditions of known and unknown image irradiance.

© 1973 Optical Society of America

Sequential photon-counting statistics and maximum-likelihood estimation techniques for gaussian optical fields*

F. Davidson and J. Amoss
J. Opt. Soc. Am. 63(1) 30-37 (1973)

Limitations of fringe-parameter estimation at low light levels*

J. F. Walkup and J. W. Goodman
J. Opt. Soc. Am. 63(4) 399-407 (1973)

Source reconstruction from the modulus of the correlation function: a practical approach to the phase problem of optical coherence theory*

D. Kohler and L. Mandel
J. Opt. Soc. Am. 63(2) 126-134 (1973)

Intensity interferometry in the spatial domain*

Paul H. Deitz and F. Paul Carlson
J. Opt. Soc. Am. 63(3) 274-280 (1973)

Range–azimuth-coupling aberrations in pulse-scanned imaging systems

E. N. Leith
J. Opt. Soc. Am. 63(2) 119-126 (1973)