基于视觉传达技术的无参考低光照图像增强方法
A method of low light image enhancement without reference based on visual communication technology
林伟 1赵继平 1刘世章1
作者信息
- 1. 电子科技大学成都学院,成都 611731
- 折叠
摘要
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.
Abstract
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.
关键词
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Key words
panoramic imaging technology/optical imaging system/multifractal method/semi soft threshold ex-ponential decay method/light dark dual channel coefficient引用本文复制引用
基金项目
四川省科技计划资助项目(2019YJ0114)
出版年
2024
NETL
NSTL
万方数据