A Low-Brightness Image Enhancement Algorithm Based on Multi-Scale Fusion

doi:10.3390/app131810230

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	A Low-Brightness Image Enhancement Algorithm Based on Multi-Scale Fusion
	E. Q. Zhang, L. H. Guo, J. D. Guo, S. F. Yan, X. Y. Li and L. S. Kong
	2023
发表期刊	Applied Sciences-Basel
卷号	13 期号:18 页码:17
摘要	Images captured in low-brightness environments typically have low brightness, low contrast, and high noise levels, which significantly affect the overall image quality. To improve the image quality, a low-brightness image enhancement algorithm based on multi-scale fusion is proposed. First, a novel brightness transformation function is used for the generation of two images with different brightnesses. Then, the illumination estimation technique is used to construct a weight matrix, which facilitates the extraction of advantageous features from each image. Finally, the enhanced image is obtained by the fusion of two images using the weight matrix and the pyramid reconstruction algorithm. The proposed method has a better enhancement effect as shown by the experimental results. Compared to other image enhancement algorithms, it has lower evaluation values in the natural image quality evaluator (NIQE) and lightness order error (LOE) indices. The lowest average NIQE value of the proposed algorithm in each dataset is 2.836. This further demonstrates its superior performance.
DOI	10.3390/app131810230
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收录类别	sci
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/68154
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	E. Q. Zhang, L. H. Guo, J. D. Guo, S. F. Yan, X. Y. Li and L. S. Kong. A Low-Brightness Image Enhancement Algorithm Based on Multi-Scale Fusion[J]. Applied Sciences-Basel,2023,13(18):17.
APA	E. Q. Zhang, L. H. Guo, J. D. Guo, S. F. Yan, X. Y. Li and L. S. Kong.(2023).A Low-Brightness Image Enhancement Algorithm Based on Multi-Scale Fusion.Applied Sciences-Basel,13(18),17.
MLA	E. Q. Zhang, L. H. Guo, J. D. Guo, S. F. Yan, X. Y. Li and L. S. Kong."A Low-Brightness Image Enhancement Algorithm Based on Multi-Scale Fusion".Applied Sciences-Basel 13.18(2023):17.

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