Abstract

J. L. Harris has indicated that a general result from statistical decision theory can be used to derive a theoretical expression for predicting resolving power. We show that by appropriate choice of tasks, it is possible to obtain, from this same result, other measures which have previously been employed as image-quality criteria. Our results indicate that decision theory provides a common basis for deriving quality criteria for diverse tasks. Prediction of image quality for object identification is also discussed.

© 1968 Optical Society of America

Full Article  |  PDF Article
More Like This
Comparison of Experimental and Theoretical Holographic Image Radiance

F. G. Kaspar, R. L. Lamberts, and C. D. Edgett
J. Opt. Soc. Am. 58(9) 1289-1295 (1968)

Resolution and Noise in Fourier Spectroscopy*

Nathan Jacobi
J. Opt. Soc. Am. 58(4) 495-498 (1968)

Imaging Through a Randomly Inhomogeneous Medium by Wavefront Reconstruction*†

Jack D. Gaskill
J. Opt. Soc. Am. 58(5) 600-608 (1968)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (2)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Equations (23)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription