Mr. Wen Guan Profile

Wen Guan

at Beijing Institute of Technology

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Proceedings Article | 8 October 2015 Paper

Research on HDR image fusion algorithm based on Laplace pyramid weight transform with extreme low-light CMOS

Wen Guan, Li Li, Weiqi Jin, Su Qiu, Yan Zou

Proceedings Volume 9675, 967524 (2015) https://doi.org/10.1117/12.2199818

KEYWORDS: Image fusion, High dynamic range imaging, Image processing, Fusion energy, Image restoration, Reconstruction algorithms, Information fusion, Detection and tracking algorithms, Image analysis, Image quality

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Extreme-Low-Light CMOS has been widely applied in the field of night-vision as a new type of solid image sensor. But if the illumination in the scene has drastic changes or the illumination is too strong, Extreme-Low-Light CMOS can’t both clearly present the high-light scene and low-light region. According to the partial saturation problem in the field of night-vision, a HDR image fusion algorithm based on the Laplace Pyramid was researched. The overall gray value and the contrast of the low light image is very low. We choose the fusion strategy based on regional average gradient for the top layer of the long exposure image and short exposure image, which has rich brightness and textural features. The remained layers which represent the edge feature information of the target are based on the fusion strategy based on regional energy. In the process of source image reconstruction with Laplacian pyramid image, we compare the fusion results with four kinds of basal images. The algorithm is tested using Matlab and compared with the different fusion strategies. We use information entropy, average gradient and standard deviation these three objective evaluation parameters for the further analysis of the fusion result. Different low illumination environment experiments show that the algorithm in this paper can rapidly get wide dynamic range while keeping high entropy. Through the verification of this algorithm features, there is a further application prospect of the optimized algorithm. Keywords: high dynamic range imaging, image fusion, multi-exposure image, weight coefficient, information fusion, Laplacian pyramid transform.

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