Volume holographic wavelet correlation processor

Wenyi Feng; Yingbai Yan; Guofan Jin; Minxian Wu; Qingsheng He

doi:10.1117/1.1287393

1 September 2000 Volume holographic wavelet correlation processor

Wenyi Feng, Yingbai Yan, Guofan Jin, Minxian Wu, Qingsheng He

Optical Engineering, Vol. 39, Issue 9, (September 2000). https://doi.org/10.1117/1.1287393

A volume holographic wavelet correlation processor is proposed and constructed for correlation identification. It is based on the theory of wavelet transforms and the mechanism of angle-multiplexing volume holographic associative storage in a photorefractive crystal. High parallelism and discrimination are achieved with the system. Our research shows that cross-talk noise is significantly reduced with wavelet filtering preprocessing. Correlation outputs can be expanded from one dimension in a conventional system to two dimensions in our system. As a result, the parallelism is greatly enhanced. Furthermore, several advantages of wavelet transforms in improving the discrimination capability of the system are described. The conventional correlation between two images is replaced by wavelet correlation between main local features extracted by an appropriate wavelet filter, which provides a sharp peak with low sidelobes. Theoretical analysis and experimental results are both given to support our conclusions. its preliminary application to human-face recognition is studied.

Citation Download Citation

Wenyi Feng, Yingbai Yan, Guofan Jin, Minxian Wu, and Qingsheng He "Volume holographic wavelet correlation processor," Optical Engineering 39(9), (1 September 2000). https://doi.org/10.1117/1.1287393

Published: 1 September 2000

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