1. 长春理工大学理学院,吉林,长春,130022
2. 长春大学计算机科学技术学院,吉林,长春,130022
3. 长春理工大学理学院吉林长春,130022
4. 长春大学计算机科学技术学院吉林长春,130022
纸质出版:2011
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陈立, 李野, 秦旭磊, 等. 基于众值理论的微光图像帧积分算法[J]. 电子学报, 2011,39(10):2217-2220.
CHEN Li, LI Ye, QIN Xu-lei, et al. A Multi-Frame Integration Technique Based on Mode Theory for Low Light Level Image[J]. Acta Electronica Sinica, 2011, 39(10): 2217-2220.
帧积分算法是图像增强技术中常用的一种方法
它在处理微光图像时有一定的局限性.本文对此做了进一步的实验与讨论
提出了一种改进的算法——众值帧积分.众值帧积分是对邻帧内对应像素点的灰度值作数学统计
并取出现几率最大的像素灰度值作为滤波结果
因此处理过的图像更接近真实.实验结果表明
众值帧积分能有效地抑制微光图像中的亮点噪声和暗点噪声
对图像边缘的保护特性比帧积分好
具有重要实用价值.
Multi-frame integration is commonly used in image enhancement technology as a method
which has some limitations when dealing with low light level image.Further discusses and experiments are done
and an approach based on the mode theory is carried out.It is called mode multi-frame integration.Mode multi-frame integration is making the grey scale value statistics of all the pixels inside the neighborhood frames and taking the grey scale mode as the filtering result
so the processed image is closer to the truth.The experimental results show that it can suppress the light and the dark noises of low light level image effectively
and as for the protection of the image edge
the property of it is better than that of multi-frame integration.It has important practical value.
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