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A Low-Brightness Image Enhancement Algorithm Based on Multi-Scale Fusion.
- Source :
- Applied Sciences (2076-3417); Sep2023, Vol. 13 Issue 18, p10230, 17p
- Publication Year :
- 2023
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- IMAGE intensifiers
IMAGE fusion
ALGORITHMS
FEATURE extraction
IMAGE processing
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 13
- Issue :
- 18
- Database :
- Complementary Index
- Journal :
- Applied Sciences (2076-3417)
- Publication Type :
- Academic Journal
- Accession number :
- 172359750
- Full Text :
- https://doi.org/10.3390/app131810230