视觉对比度机制小目标增强与背景抑制综述北大核心CSCD

复杂背景中的红外弱小目标因亮度低、尺寸小、可用特征少而难以检测。如何在检测中抑制背景杂波、提高目标信噪比成为该领域的研究热点与难点。本文对基于人类视觉系统对比度机制的小目标增强与背景抑制技术的演进和性能进行了归纳与分析。局部对比度测度窗口由单尺度向多尺度,乃至动态或自适应尺度的发展,满足应用中对未知尺寸小目标同步快速检测的需要;局部对比度测度计算方法由简单到复杂、依据低阶信息到采用高阶信息的变化,有利于更全面地抑制复杂背景、进一步增强目标。因此,将成为未来人类视觉对比度机制小目标检测算法的发展方向。

Review of small target enhancement and background suppression based on human visual contrast mechanism

Infrared dim target in complex background is difficult to detect due to low brightness,small size and few available features.How to suppress background clutter and improve the target signal to noise ratio in detection has become a hot and difficult research area in this field.In this paper,the evolution and performance of small target enhancement and background suppression technologies based on contrast mechanism of human visual system are summarized and analyzed.The development of local contrast measurement window from single scale to multi scale,and even dynamic or adaptive scale,meets the need of rapid synchronous detection of small targets of unknown size in applications.The calculation methods of local contrast measure change from simple to complex,based on low order information to using high order information,which is conducive to more comprehensive suppression of complex background and further enhancement of the target.Therefore,it will become the future direction for small target detection algorithms for human visual contrast mechanism.