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Proceedings ArticleDOI

Computer modeling and simulation of camera defocus

Murali Subbarao, +1 more
- Vol. 1822, pp 110-120
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TLDR
In this paper, a computer model is presented for the formation and sensing of defocused images in a typical CCD camera system, which can be easily extended and used as a research tool in other areas of machine vision.
Abstract
A computer model is presented for the formation and sensing of defocused images in a typical CCD camera system. A computer simulation system named IDS has been developed based on the computer model. IDS takes as input the camera parameters and the scene parameters. It produces as output a digital image of the scene as sensed by the camera. IDS consists of a number of distinct modules each implementing one step in the computer model. The modules are independent and can be easily modified to enhance the simulation system. IDS is being used by our group for research on methods and systems for determining depth from defocused images. IDS is also being used for research on image restoration. It can be easily extended and used as a research tool in other areas of machine vision. IDS is a machine independent and hence portable. It provides a friendly user interface which gives the user full access and control to the parameters and intermediate results.© (1993) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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Journal ArticleDOI

Depth from defocus: a spatial domain approach

TL;DR: A new method named STM is described for determining distance of objects and rapid autofocusing of camera systems based on a new Spatial-Domain Convolution/Deconvolution Transform that requires only two images taken with different camera parameters such as lens position, focal length, and aperture diameter.
Proceedings ArticleDOI

Depth from defocus and rapid autofocusing: a practical approach

TL;DR: A method for determining depth (range) from image defocus and rapid autofocusing of a camera named DFD1F, which requires only two images in theory, but three images in the present implementation, providing not only computational advantage but also robustness in practical applications.
Journal ArticleDOI

A Combined Theory of Defocused Illumination and Global Light Transport

TL;DR: This paper studies the interplay between defocused illumination and global light transport, and shows that both these seemingly disparate effects can be expressed as low pass filters on the incident illumination, which can be used to separate the two.
Proceedings ArticleDOI

Image capture simulation using an accurate and realistic lens model

TL;DR: A digital image capture simulator that incorporates a lens model based on point-spread function (PSF) data from a commercial lens design package that has significant advantages over a simple MTF based model.
Proceedings ArticleDOI

Continuous focusing of moving objects using DFD1F

TL;DR: A method is presented for continuous focusing of moving objects based on DFD1F which is a method for determining distance of stationary objects using image defocus information and has practical applications in video cameras such as camcorders.