Improved Contrast Enhancement Algorithm for Night Vision Systems using Thermal Camera

Long-wave infrared-based thermal cameras employing uncooled detectors are extensively utilized in the night vision systems of autonomous driving platforms. In these cameras, contrast enhancement process is necessary to transition from low dynamic range to high dynamic range. Therefore, in this paper, we propose an improved contrast enhancement algorithm utilizing histogram equalization with gamma correction.

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Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/isocc62682.2024.10762279
Citations
3
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
3.90
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Improved Contrast Enhancement Algorithm for Night Vision Systems using Thermal Camera

Jae‐Ho Han, Jeongwoo Cha, Hyunmin Choi, Jungho Shin et al.
3 citations
Infrared Target Detection Methodologies
3.90
article

Improved Contrast Enhancement Algorithm for Night Vision Systems using Thermal Camera

Jae‐Ho Han, Jeongwoo Cha, Hyunmin Choi, Jungho Shin, Cheol‐Ho Choi
article en
3 citations

Abstract

Long-wave infrared-based thermal cameras employing uncooled detectors are extensively utilized in the night vision systems of autonomous driving platforms. In these cameras, contrast enhancement process is necessary to transition from low dynamic range to high dynamic range. Therefore, in this paper, we propose an improved contrast enhancement algorithm utilizing histogram equalization with gamma correction.

Hanwha Solutions (South Korea) (KR)
Affordable and clean energy
Openalex Percentile: Top 6%
Infrared Target Detection Methodologies
3.90
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