DocumentCode :
3373168
Title :
Simulation of image blur
Author :
Tokay, Mehmet Serkan ; Figen, Ziya Gürkan
fYear :
2010
fDate :
22-24 April 2010
Firstpage :
832
Lastpage :
835
Abstract :
In this work, a MATLAB based user interface with various computation modules which simulate the image blur using the Modulation Transfer Function (MTF) is presented. Image distortion in an imaging system occurs through image blur and noise. The amount of the image blur depends on the characteristics of the optical system, sensor, post-sensor electronics; atmospheric conditions; and motion characteristics of the platform where imager is situated. In this work, image blur is simulated using MTF, especially under conditions where atmospheric degradation effects are dominant. Upon selection of an image by the user, the image blur due to components of the imaging systems and different atmospheric conditions is added to obtain a resultant image. The user can freely specify the values of parameters determining the amount of image blur. By employing synthetic image generators, this work can be used for increasing the efficiency of target detection, tracking, and image restoration algorithms.
Keywords :
image motion analysis; image restoration; object detection; target tracking; MATLAB based user interface; MTF; atmospheric degradation effects; image blur simulation; image distortion; image restoration algorithms; imaging system; modulation transfer function; optical system; post-sensor electronics; synthetic image generators; target detection; target tracking; Adaptive optics; Aerosols; Atmospheric modeling; Optical imaging; Optical scattering; Optical sensors; Optimized production technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th
Conference_Location :
Diyarbakir
Print_ISBN :
978-1-4244-9672-3
Type :
conf
DOI :
10.1109/SIU.2010.5653948
Filename :
5653948
Link To Document :
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