Abstract

Can photographic images, e.g., corresponding to star clusters, be superresolved? Or alternatively, can already good (diffraction-limited) images be improved by restoring methods? To test this hypothesis, objects have been prepared that can be resolved only if the bandwidth in the restoration exceeds that of the image data. The objects are double and triple slits with separations equal to fractions (0.33, 0.50, or 0.65) of Rayleigh’s resolution distance. These are incoherently imaged in quasimonochromatic light by a slit-aperture optical system, and developed as photographs. The amount of diffraction blur is made comparable with the grain-limited resolution distance, since this is the usual situation for an efficient optics–film design. The photos are scanned across the slit directions, digitized, and computer restored by the method of maximum entropy. Results indicate that two object slits can be well resolved when separated by one-half of Rayleigh’s resolution distance, and that three object slits are resolvable subject to a definite hierarchy of confidence: Most accurately restored is the number of object impulses, next are their positions, and least accurate is information on their amplitudes.

© 1972 Optical Society of America

Restoring with Maximum Likelihood and Maximum Entropy*

B. Roy Frieden
J. Opt. Soc. Am. 62(4) 511-518 (1972)

Restoring with maximum entropy. III. Poisson sources and backgrounds

B. Roy Frieden and Donald C. Wells
J. Opt. Soc. Am. 68(1) 93-103 (1978)

Maximum entropy image restoration. I. The entropy expression

Ryoichi Kikuchi and B. H. Soffer
J. Opt. Soc. Am. 67(12) 1656-1665 (1977)

Maximum entropy restoration of blurred and oversaturated Hubble Space Telescope imagery

N. L. Bonavito, J. E. Dorband, and T. Busse
Appl. Opt. 32(29) 5768-5774 (1993)

Linear Restoration of Incoherently Radiating Objects

Carl W. Helstrom
J. Opt. Soc. Am. 62(3) 416-423 (1972)