摘要
针对沙尘图像存在细节模糊、对比度低和颜色偏移等问题,提出了基于多曝光图像融合的沙尘图像增强算法。首先对蓝通道进行补偿,以弥补沙尘图像的蓝光损失;其次对图像的RGB三通道分别进行标准化,以减小通道直方图之间的偏离,从而去除偏色。为了提高图像中不同区域的细节,采用线性参数控制的方法生成多幅曝光图像。通过用对比度、饱和度和良好曝光度的质量度量计算权重图,以选择出曝光图像中的最佳像素;然后分别构建权重图和曝光图像的高斯金字塔和拉普拉斯金字塔。最后将图像金字塔融合,并重建出结果图像。主观和客观实验表明:与其他算法相比,本文算法能够有效去除偏色以及提高图像的对比度和清晰度,结果图像视觉效果良好。
To solve the problems of sand-dust image such as fuzzy detail,low contrast and color cast,an enhancement algorithm based on multi-exposure image fusion is proposed.Firstly,the blue channel is compensated to make up for the blue light loss of sand-dust image.Secondly,the RGB three channels of the image are standardized to reduce the deviation between the channel histograms,so as to remove the color cast.In order to obtain the details of different regions in the image,the linear transformation method of parameter control is used to generate multi-exposure images.Weight maps are calculated using quality measures of contrast,saturation and well-exposedness to select the best pixels in the exposure images.Then the Gaussian pyramid of weight maps and the Laplacian pyramid of exposure images are constructed.Finally,the image pyramid is fused and the resulting image is reconstructed.Subjective and objective experiments show that,compared with other algorithms,the proposed algorithm can effectively remove color cast and improve the contrast and clarity of the image,and the result image visual effect is good.
作者
陈豪
赖惠成
高古学
吴昊
钱绪泽
CHEN Hao;LAI Huicheng;GAO Guxue;WU Hao;QIAN Xuze(College of Information Science and Engineering,Xinjiang University,Urumqi 830046,China;Key Laboratory of Signal Detection and Processing,Xinjiang University,Urumqi 830046,China)
出处
《光子学报》
EI
CAS
CSCD
北大核心
2021年第9期300-312,共13页
Acta Photonica Sinica
基金
国家自然科学基金(Nos.U1803261,U1903213)。
关键词
沙尘图像
图像增强
曝光图像
图像金字塔
图像融合
Sand-dust image
Image enhancement
Exposure image
Image pyramid
Image fusion
