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基于视觉传达技术的无参考低光照图像增强方法

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为了优化低光照图像增强效果,提出基于视觉传达的无参考低光照图像增强方法。所提方法通过全景成像技术重构低光照图像,并采用计算机原理模拟光学成像系统,引入多重分形法和半软阈值指数衰减法去除重构图像上的噪声。通过亮暗双通道系数计算图像增强过程中的最佳透射率,并以此透射率对低光照图像展开增强处理。实验结果表明,所提方法重构图像完整、图像整体质量高、SIMM值接近于1,在不影响图像清晰度的前提下实现了图像去噪,对低光照图像的增强效果明显,避免了增强过程中的图像曝光,做到了图像细节的完整保留。
A method of low light image enhancement without reference based on visual communication technology
In order to optimize the low-light image enhancement effect,a non-reference low-light image enhance-ment method based on visual communication is proposed.The proposed method reconstructs the low-light image through panoramic imaging technology,uses computer principles to simulate the optical imaging system,and introduces multifractal method and semi-soft threshold exponential attenuation method to remove the noise on the reconstructed image.The best transmittance in the process of image enhancement is calculated by the light and dark dual-channel coefficient,and the low-light image is enhanced by this transmittance.The experimental results show that the recon-structed image is complete,the overall quality of the image is high,and the SIMM value is close to 1.The image de-noising is achieved without affecting the image definition.The enhancement effect on the low-light image is obvious,avoiding the image exposure during the enhancement process,and achieving the complete retention of image details.

panoramic imaging technologyoptical imaging systemmultifractal methodsemi soft threshold ex-ponential decay methodlight dark dual channel coefficient

林伟、赵继平、刘世章

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电子科技大学成都学院,成都 611731

全景成像技术 光学成像系统 多重分形法 半软阈值指数衰减法 亮暗双通道系数

四川省科技计划资助项目

2019YJ0114

2024

激光杂志
重庆市光学机械研究所

激光杂志

CSTPCD北大核心
影响因子:0.74
ISSN:0253-2743
年,卷(期):2024.45(2)
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