Paper
23 March 1993 Application of spatial-domain convolution/deconvolution transform for determining distance from image defocus
Murali Subbarao, Gopal Surya
Author Affiliations +
Proceedings Volume 1822, Optics, Illumination, and Image Sensing for Machine Vision VII; (1993) https://doi.org/10.1117/12.141938
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
This paper describes the application of a new Spatial-Domain Convolution/Deconvolution transform (S transform) for determining distance of objects and rapid autofocusing of camera systems using image defocus. The method of determining distance, named STM, involves simple local operations on only a few (about 2 to 4) images and it can be easily implemented in parallel. STM has been implemented on an actual camera system named SPARCS. Experiments on the performance of STM and their results on real-world objects are presented. The results indicate that STM is useful in practical applications. The utility of the method is demonstrated for rapid autofocusing of electronic cameras. STM is computationally more efficient than other methods, but for our camera system, it is somewhat less robust in the presence of noise than a Fourier transform based approach. STM is a useful technique in many applications such as rapid autofocusing.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Murali Subbarao and Gopal Surya "Application of spatial-domain convolution/deconvolution transform for determining distance from image defocus", Proc. SPIE 1822, Optics, Illumination, and Image Sensing for Machine Vision VII, (23 March 1993); https://doi.org/10.1117/12.141938
Lens.org Logo
CITATIONS
Cited by 18 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Scanning tunneling microscopy

Imaging systems

Point spread functions

Radon

Computing systems

Convolution

Back to Top