Simple, general, and mathematically tractable way to sense depth in a single image

Akbar R. Saadat; Hamid Fahimi

doi:10.1117/12.217419

22 August 1995 Simple, general, and mathematically tractable way to sense depth in a single image

Akbar R. Saadat, Hamid Fahimi

Proceedings Volume 2564, Applications of Digital Image Processing XVIII; (1995) https://doi.org/10.1117/12.217419
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

Depth from defocus methods are based on the relation between depth and the amount of defocus at each image point. Choosing a proper model for defocusing operator and extracting its parameter is the main idea in this method. Generally defocusing operator can be modeled as a linear, circularly symmetric, low pass, and space variant filter. In the proposed method filter's bandwidth is used as a measure of depth. The importance of the method is the introduction of a simple procedure for extracting the filter's bandwidth, which has a well founded mathematical tractability. No preassumption about the shape of the filter is required and a simple and efficient way to obtain the measure of depth is presented. Experimental results of applying the proposed measure on synthetic and real images indicate its high capability of resolving depth in a single image.

Citation Download Citation

Akbar R. Saadat and Hamid Fahimi "Simple, general, and mathematically tractable way to sense depth in a single image", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); https://doi.org/10.1117/12.217419

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available