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