为克服传统图像增强算法在光照强度不均的密闭腔体内对图像增强不足和自然度保留能力弱的问题,本文提出了一种双曝光度图像融合的算法.首先通过图像熵最大化准则估计最佳曝光度,然后利用相机响应模型合成最佳曝光度图像,并基于自适应的...为克服传统图像增强算法在光照强度不均的密闭腔体内对图像增强不足和自然度保留能力弱的问题,本文提出了一种双曝光度图像融合的算法.首先通过图像熵最大化准则估计最佳曝光度,然后利用相机响应模型合成最佳曝光度图像,并基于自适应的权重评估方法融合弱光照图像和最佳曝光度图像,最后利用改进的BM3D(Block-matching And 3D Filtering)方法对融合图像去噪.所提方法在公开数据集和GIS设备的密闭腔体内进行了验证.实验结果表明,本文方法能够增加图像熵,减少图像噪声,提高低光照部分的亮度,保护图像自然度.展开更多
Based on the analysis of public expenditure performance,this article discusses the economy,efficiency,and effectiveness of defense expenditure performance,explains the relationship of the three,and emphasizes their un...Based on the analysis of public expenditure performance,this article discusses the economy,efficiency,and effectiveness of defense expenditure performance,explains the relationship of the three,and emphasizes their unity,interaction,and priority.The defense expenditure performance evaluation system,which is a comprehensive assessment of processes and results,is put forward along with the unification of economy,efficiency,and effectiveness.This system can be used to analyze whether the allocation and use of defense funds have achieved the strategic objectives of the Department of Defense.展开更多
文摘为克服传统图像增强算法在光照强度不均的密闭腔体内对图像增强不足和自然度保留能力弱的问题,本文提出了一种双曝光度图像融合的算法.首先通过图像熵最大化准则估计最佳曝光度,然后利用相机响应模型合成最佳曝光度图像,并基于自适应的权重评估方法融合弱光照图像和最佳曝光度图像,最后利用改进的BM3D(Block-matching And 3D Filtering)方法对融合图像去噪.所提方法在公开数据集和GIS设备的密闭腔体内进行了验证.实验结果表明,本文方法能够增加图像熵,减少图像噪声,提高低光照部分的亮度,保护图像自然度.
文摘Based on the analysis of public expenditure performance,this article discusses the economy,efficiency,and effectiveness of defense expenditure performance,explains the relationship of the three,and emphasizes their unity,interaction,and priority.The defense expenditure performance evaluation system,which is a comprehensive assessment of processes and results,is put forward along with the unification of economy,efficiency,and effectiveness.This system can be used to analyze whether the allocation and use of defense funds have achieved the strategic objectives of the Department of Defense.