TY - JOUR
T1 - Mixed-signal architecture for real-time two-dimensional live TV image restoration
AU - Likhterov, B.
AU - Kopeika, N. S.
N1 - Funding Information:
This work was supported partially by the Paul Ivanier Center for Robotics and Production Management, partially by the Reuven and Frances Feinberg Chair in Electrooptics at Ben-Gurion University of the Negev, and partially by a grant from the Ministry of Science, Israel.
PY - 2001/1/1
Y1 - 2001/1/1
N2 - This paper describes novel electronic architecture for a real-time image restoration of live TV signals at live TV frame rates with a latency of two frames. 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 makes possible truly real-time video frame rate performance. The digital part of the system serves the purpose of pipelined parallel data conversion and flow, rather than that of image processing (filtering). This architecture exhibits some very important advantages. It does not need any computational source, it is very fast, and it is quite inexpensive. In addition, such a "parallel analog computer" can be easily incorporated into 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 low digitalization noise, thus yielding good SNR characteristics. The system can perform any kind of separable spatial frequency filtering and can be electronically tuned to obtain exact performance parameters. Because of these advantages, this architecture is promising for a variety of systems such as supermarket multicamera security, military and aerospace vision systems, and medical diagnostics.
AB - This paper describes novel electronic architecture for a real-time image restoration of live TV signals at live TV frame rates with a latency of two frames. 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 makes possible truly real-time video frame rate performance. The digital part of the system serves the purpose of pipelined parallel data conversion and flow, rather than that of image processing (filtering). This architecture exhibits some very important advantages. It does not need any computational source, it is very fast, and it is quite inexpensive. In addition, such a "parallel analog computer" can be easily incorporated into 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 low digitalization noise, thus yielding good SNR characteristics. The system can perform any kind of separable spatial frequency filtering and can be electronically tuned to obtain exact performance parameters. Because of these advantages, this architecture is promising for a variety of systems such as supermarket multicamera security, military and aerospace vision systems, and medical diagnostics.
UR - http://www.scopus.com/inward/record.url?scp=0035310367&partnerID=8YFLogxK
U2 - 10.1006/rtim.2000.0237
DO - 10.1006/rtim.2000.0237
M3 - Article
AN - SCOPUS:0035310367
SN - 1077-2014
VL - 7
SP - 183
EP - 194
JO - Real-Time Imaging
JF - Real-Time Imaging
IS - 2
ER -