红外图像动态范围压缩算法研究综述

Review of Dynamic Range Compression Algorithms for Infrared Images

红外图像的动态范围压缩是红外图像可视化研究领域的重要研究方向。红外图像的动态范围压缩算法将直接决定原始红外图像的细节保留、整体观感等重要可视化指标,某种意义上也可以说是细节增强的基础及保障。基于此,本文调研了当前主流的宽动态红外图像的动态范围压缩算法,将其分为基于全局压缩算法和基于局部压缩算法两大类,并对这两类算法的核心思想、发展过程及优缺点分别进行研究分析并提出了改进方向及发展趋势,为相关研究者提供参考。

Dynamic range compression of infrared images is an important research direction in the field of infrared image visualization.The dynamic range compression algorithm directly determines the important visualization indexes of the original infrared image,such as detail retention and overall perception;in a sense,it is the basis and guarantee of detail enhancement.This study investigates a wide dynamic range compression algorithm and a local compression algorithm based on a global compression algorithm.Based on the two algorithms,we study and analyze the development process and the advantages and disadvantages to improve the research direction and development trend,which will provide a reference for researchers.