Simulation of image blur

M. Tokay, Z. G. Figen
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引用次数: 0

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.
图像模糊模拟
在这项工作中,提出了一个基于MATLAB的用户界面,其中包含各种计算模块,使用调制传递函数(MTF)模拟图像模糊。成像系统中的图像失真是由图像模糊和噪声引起的。图像模糊的程度取决于光学系统、传感器、后传感器电子器件的特性;大气条件;以及成像仪所在平台的运动特性。在这项工作中,使用MTF模拟图像模糊,特别是在大气退化效应占主导地位的条件下。在用户选择图像后,由于成像系统组件和不同大气条件而产生的图像模糊被添加,以获得最终图像。用户可以自由指定决定图像模糊程度的参数值。通过使用合成图像生成器,该工作可用于提高目标检测、跟踪和图像恢复算法的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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