Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Entropy-based depth from focus

Not Accessible

Your library or personal account may give you access

Abstract

The two-image depth-from-focus problem is reconsidered in terms of entropy loss in a linear filter. It is shown that this formulation leads to a relatively simple solution whose variance is equal to or less than that from a regression approach. The formulation is appropriate even when the point-spread function of the optical system is not well suited to a low-order regression fit or when both images used contain some degree of defocusing with distance.

© 1993 Optical Society of America

Full Article  |  PDF Article
More Like This
Rational-operator-based depth-from-defocus approach to scene reconstruction

Ang Li, Richard Staunton, and Tardi Tjahjadi
J. Opt. Soc. Am. A 30(9) 1787-1795 (2013)

Quantitative analysis of error bounds in the recovery of depth from defocused images

Ambasamudram N. Rajagopalan, Subhasis Chaudhuri, and Rama Chellappa
J. Opt. Soc. Am. A 17(10) 1722-1731 (2000)

Joint image and depth completion in shape-from-focus: Taking a cue from parallax

Rajiv R. Sahay and A. N. Rajagopalan
J. Opt. Soc. Am. A 27(5) 1203-1213 (2010)

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 Optica member, or as an authorized user of your institution.

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

Figures (12)

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

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

Equations (20)

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

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

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.