基于曝光融合的无人机航拍图像增强方法

Q3 Engineering

西北工业大学学报 Pub Date : 2022-12-01 DOI:10.1051/jnwpu/20224061327

Liangliang Li, Jian-lin Ren, Peng Wang, Z. Lyu, Mengyu Sun, Xiaoyan Li, Wuqi Gao

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引用次数: 0

摘要

A drone aerial image enhancement algorithm is proposed to address the issue of uneven lighting and degradation of image quality caused by natural fog in drone aerial images. Utilize an improved low illumination image enhancement algorithm to balance brightness contrast; To solve the problem of image over enhancement after equalization, a color correction and enhancement method combining defogging and exposure fusion is proposed; In order to preserve the edge texture information of the enhanced image, a more effective detail enhancement algorithm has been designed. After processing, the statistical histogram is smoother, which can suppress some noise to a certain extent, and the detail texture information is stronger. The experimental results show that the proposed aerial image enhancement algorithm can effectively solve the phenomenon of image degradation caused by uneven lighting or natural fog, improve the quality of unmanned aerial vehicle aerial images, and the subjective and objective image quality evaluation indicators are superior to the majority of existing mainstream algorithms, with better performance.

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Image enhancement method based on exposure fusion for UAV aerial photography

针对无人机航拍图像光照不均匀及自然雾导致影像质量退化问题, 提出了一种无人机航拍图像增强算法。利用改进的低照度图像增强算法均衡亮度对比度; 为了解决均衡后图像过增强问题, 提出了联合去雾及曝光融合的色彩矫正增强方法; 为了保留增强图像的边缘纹理信息, 设计了一种效果更佳的细节增强算法, 处理后统计直方图更为平滑, 可在一定程度上抑制部分噪声, 细节纹理信息更强。实验结果表明, 所提的航拍图像增强算法, 能够有效解决因光照不均或自然雾引起的影像退化现象, 提高了无人机航拍图像的质量, 主客观图像质量评价指标优于现有绝大多数主流算法, 性能更佳。

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来源期刊

西北工业大学学报 Engineering-Engineering (all)

CiteScore

1.30

自引率

0.00%

发文量

6201

审稿时长

12 weeks

期刊介绍：