By Topic

Reconstruction of face image from security camera based on a measurement of space variant PSF

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Ito, T. ; Dept. of Electron. Eng., Gunma Univ., Kiryu, Japan ; Hoshino, H. ; Fujii, Y. ; Ohta, N.

Images recorded by security camera are often severely degraded due to dirty lens or secular distortion of the recording system. To restore these images, the fully determination of space variant point spread function (PSF) is required. To measure PSF, we have proposed a method using a liquid crystal display, and shown some experimental results to restore the images by a CCD camera with intentionally distorted optics. The previous results, however, were not satisfactory due to the measurement error and noise contained in the measured PSF. In this paper, we propose a new method using M-array patterns for reduction of the measurement error and noise in PSF, and show improved results of restoration.

Published in:


Date of Conference:

18-21 Aug. 2009