Share Email Print
cover

Proceedings Paper

Real-time two-dimensional electronic image filtering and live TV restoration
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We describe novel architecture for a real-time image restoration system of live TV signals. No DSP is involved. The spatial filtering is obtained from two electronic analog filters, one for the raster lines and one for the columns. The very fast response of analog filters is the key for truly real-time video frame rate performance. The digital part of the system serves the purpose of pipe-lined parallel data conversion and flow, but not that of image processing at all. Despite the lack of DSP, this architecture exhibits some very important advantages. It does not need any computational source, it is very fast, and it is much cheaper. Also our 'parallel analog computer' can be easily incorporated in any complex system with video signal data as a simple 'plug-in' between the camera and monitor. An important aspect is that the system carries lower digitalization noise than DSP, thus yielding better SNR characteristics at a lower price. The system is not bound to nay specific kind of spatial frequency filtering and can be electronically tuned to obtain exact performance parameters. Because of these advantages, this architecture is promising for a wide variety of system such as supermarket multicamera security, military and aerospace vision systems, and medical diagnostics.

Paper Details

Date Published: 24 October 1997
PDF: 12 pages
Proc. SPIE 3159, Algorithms, Devices, and Systems for Optical Information Processing, (24 October 1997); doi: 10.1117/12.279455
Show Author Affiliations
Boris Likhterov, Ben-Gurion Univ. of the Negev (Israel)
Norman S. Kopeika, Ben-Gurion Univ. of the Negev (Israel)


Published in SPIE Proceedings Vol. 3159:
Algorithms, Devices, and Systems for Optical Information Processing
Bahram Javidi; Demetri Psaltis, Editor(s)

© SPIE. Terms of Use
Back to Top