数字图像主动伪装技术研究综述

主动伪装通过将待保护的图像信息变换成可识别的有意义图像信息,以达到隐藏数字图像感兴趣目标对象,逃避敌方检测的目的,其在国防安全、军事通信等领域有着广泛的应用。本文首先详细介绍了数字图像主动伪装的定义、基本原理、主要特性、典型算法,然后指出了现有主动伪装算法对图像视觉生理与心理因素的考虑不足,其伪装效果有待进一步提高。伪装的最终目的是欺骗人的眼睛,为实现数字图像中目标与背景的自适应融合,以达到优良的伪装效果,本文从视觉光学、视觉生理、视觉心理综合角度出发,提出基于视觉感知的数字图像主动伪装算法设计思想,并进一步分析了基于视觉感知的数字图像主动伪装技术拟解决的关键技术问题与可能的解决方案。最后给出了数字图像主动伪装技术的一些主要应用前景。

Survey of active camouflage technique for digital image

Active camouflage transforms original image into another meaningful and recognizable image so as to hide the target object(Region of Interest)and avoid enemy detection.The technology has wide application in fields such as national security,military communications.At first,the concept,principle,characteristics and typical algorithms of digital image active camouflage are introduced.Secondly,the shortcomings of existing camouflage algorithms are pointed out,i.e.the visual physical and psychological factors are neglected in camouflage processing,and the camouflage effect needs to be further improved.To achieve adaptive fusion of the target and background in digital images and obtain a good camouflage effect,digital image Active Camouflage Schemes based on Visual Perception(ACSVP)are proposed by combining visual optics,visual physiology and visual psychology factors.Key technical problems and possible solutions of the ACSVP scheme are further analyzed.Finally,application prospects of digital image active camouflage technology are discussed.