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Extreme Zoom Surveillance: System Design and Image Restoration
 

Summary: Extreme Zoom Surveillance: System Design and
Image Restoration
Yi Yao, Besma R. Abidi, and Mongi A. Abidi
The University of Tennessee, Knoxville, USA
Email: {yyao1, besma, abidi}@utk.edu
Abstract--Applications of digital imaging with extreme
zoom are traditionally found in astronomy and wild life
monitoring. More recently, the need for such capabilities
has extended to long range surveillance and wide area
monitoring such as forest fires, harbors, and waterways. In
this paper, we present a number of sensor arrangements for
such applications, focusing on optical setups, auto-focusing
mechanisms, and image deblurring techniques. Considering
both the speed of convergence and robustness to image
degradations induced by high system magnifications and
long observation distances, we introduce an auto-focusing
algorithm based on sequential search with a variable step
size. We derive the transition criteria following maximum
likelihood (ML) estimation for the selection of suitable step
sizes. The efficiency of the proposed algorithm is illustrated

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences