Review of Dynamic Range Compression Algorithms for Infrared Images

OUYANG Huiming; LI Zemin; ZHOU Yongkang; WANG Shijin; ZHU Xiaojie; ZENG Bangze; ZHAO Deli; HU Jianchuan

Volume 43 Issue 3

Apr. 2021

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Article Navigation > Infrared Technology > 2021 > 43(3): 208-217

OUYANG Huiming, LI Zemin, ZHOU Yongkang, WANG Shijin, ZHU Xiaojie, ZENG Bangze, ZHAO Deli, HU Jianchuan. Review of Dynamic Range Compression Algorithms for Infrared Images[J]. Infrared Technology , 2021, 43(3): 208-217.

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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

Received Date: 2020-07-30
Rev Recd Date: 2020-10-14
Publish Date: 2021-04-02

Abstract

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

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References(37)

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