期刊论文

Adaptive Multi-Exposure Image Fusion with Guided Filtering

中文

计算机工程与应用

1002-8331

2019

55

4

193-199

10.3778/j.issn.1002-8331.1711-0196

No.61501198:国家自然科学基金 No.41671377:国家自然科学基金 No.41501463:国家自然科学基金 No.2014CFB461:湖北省自然科学基金面上项目 No.2014072704011248:武汉市青年科技晨光计划

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针对引导滤波产生的光晕、梯度反转现象,以及图像融合边缘细节丢失的现象,提出一种改进引导滤波的自适应多曝光图像融合算法。在引导滤波中根据梯度信息设定权重函数,并结合图像像素点和一定区域的均值创建函数,共同实现不同区域的纹理特性自适应;利用平均亮度与对比度、饱和度及曝光适中度的关系,设置权值函数,使加权平均融合过程中的权重值不再是固定的数值,而能够根据不同的图像亮度自适应调整,权重值也不同,使得融合后的图像质量更好;将原序列图的细节信息叠加到改进的引导滤波图像中,构建纹理细节层。实验结果削弱了光晕及梯度反转现象,使图像更加真实,细节更加清晰,并且对有小光源的图像处...

In order to solve the phenomenon of halo and gradient inversion caused by guided filtering and the loss of edge of image fusion, this paper proposes a novel improved adaptive multi-exposure image fusion algorithm with guided filtering. Firstly, this paper sets the weight function according to the gradient information in the guided filtering, and combines the image pixel and the mean of the region to create the function, and realizes the adaption of the texture feature of different regions. Secondly, this paper sets the weight function by using the relationship between average brightness and co...