红外图像动态范围压缩算法研究综述

欧阳慧明; 李泽民; 周永康; 王世锦; 朱晓杰; 曾邦泽; 赵德利; 胡建钏

红外图像动态范围压缩算法研究综述

1.
昆明物理研究所, 云南昆明 650223
2.
陆军装备部驻重庆地区军事代表局驻昆明地区第一军事代表室, 云南昆明 650023
3.
中国船舶工业系统工程研究院, 北京 100094

详细信息

作者简介:
欧阳慧明（1991-），男，白族，硕士，工程师，主要研究方向：红外成像系统设计及相关技术。E-mail: 799049681@qq.com

中图分类号: TP751.1
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出版历程
- 收稿日期: 2020-07-30
- 修回日期: 2020-10-14
- 刊出日期: 2021-04-02

Review of Dynamic Range Compression Algorithms for Infrared Images

1.
Kunming Institute of Physics, Kunming 650223, China
2.
The First Military Representative Office in Kunming of the Army Department in Chongqing, Kunming 650023, China
3.
System Engineering Research Institute of China State Shipbuilding Corporation, Beijing 100094, China

摘要

摘要: 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。
- 宽动态红外图像 /
- 动态范围压缩 /
- 全局压缩算法 /
- 局部压缩算法
Abstract: 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.
- wide dynamic infrared image /
- dynamic range compression /
- global compression algorithm /
- local compression algorithm

HTML全文

图 1 线性压缩和三段式线性压缩及最优化曲线压缩处理对比

Figure 1. Comparison between linear compression and three-stage linear compression and optimal curve compression processing

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图 2 指数压缩、三角函数压缩及S型曲线压缩处理结果对比

Figure 2. Comparison of index compression, trigonometric function compression and S-curve compression

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图 3 对数压缩及其两种改进的对数压缩方法处理后图片

Figure 3. Logarithmic compression and two improved methods of logarithmic compression after image processing

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图 4 γ函数压缩及其两种改进的自适应γ压缩方法处理后图片

Figure 4. Gamma compression and two improved adaptive gamma compression methods for post-processing images

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图 5 线性压缩、直方图均衡化与HALEQ算法处理效果对比

Figure 5. Comparison of linear compression, histogram equalization and HALEQ algorithm

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图 6 直方图修正算法处理结果

Figure 6. Histogram modification algorithm processing results

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图 7 局部直方图类算法处理结果对比

Figure 7. Comparison of processing results of local histogram algorithms

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表 1 红外图像动态范围压缩方法

Table 1. Infrared image dynamic range compression methods

Classification		Typical method	Advantage	Disadvantage
Global compression method	Linear compression	AGC Segmented AGC	The method is simple and the processing speed is fast	Need to adjust the gain coefficient manually, the detail loss is obvious, the contrast is poor
	Nonlinear compression	Exponential compression, S-curve compression Trigonometric function Compression, OMCP, ML & LC, BAC & LC LM & AC, BF & AGC	The amplification of noise is suppressed, the relative change of brightness is retained, and the computational complexity is relatively low	Without considering the local features of the image, the image details are obviously lost after processing, the local contrast is low, and the scene adaptability of some algorithms is poor
	Histogram class compression	HE, PHE, HALEQ	The method is simple, the processing speed is fast, and the image contrast is relatively good	The algorithm is relatively limited and the image details are obviously lost after processing
Local histogram compression method		AHE, CLAHE, POAHE Clahe algorithm based on Gaussian weight, Combine global compression with local compression	Considering the local features of the image, the details and local contrast of the processed image are greatly improved	Because the partitioning effect is easy to introduce artifacts in the area of the image gray scale, the noise cannot be effectively suppressed, and the overall image contrast is relatively poor

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