基于三维激光扫描的低照度图像色彩增强方法  

Color enhancement method of low illumination image based on three-dimensional laser scanning

作　　者：陈烽[1] 王浩[1] 杨怀[1] CHEN Feng;WANG Hao;YANG Huai(Department of Information Engineering,Tibet University for Nationalities,Xianyang Shaanxi 712082,China)

机构地区：[1]西藏民族大学信息工程学院,陕西咸阳712082

出　　处：《激光杂志》2023年第6期103-107,共5页Laser Journal

基　　金：国家自然科技基金项目(No.62062061)。

摘　　要：为了提高图像画面的清晰度,给用户展示更多细节,提出了基于三维激光扫描的低照度图像色彩增强方法。利用图像直方图分析灰度级,通过直方图处理实现低照度图像对比度增强,使所有灰度区域的均匀布局;通过多维信息算出协方差,利用矩阵构成相关数据,在相邻点实行空间曲面拟合,构建平面图像函数,将连续图像函数变换成离散形式,扫描图像找到相应的行列数,判断点位置获得三维激光图像矩阵。通过实验可知,本方法的图像标准差与实际图像差值仅为0.25,信息熵差值仅为0.1,平均梯差值仅为0.05,表明本方法能够增强低照度图像色彩。In order to improve the clarity of the image and show users more details,a low illumination image color enhancement method based on three-dimensional laser scanning is proposed in this paper.The gray level is analyzed by image histogram,and the contrast of low illumination image is enhanced by histogram processing,so that all gray areas are evenly distributed.The covariance is calculated through multi-dimensional information,the relevant data is formed by matrix,the spatial surface fitting is carried out at adjacent points,the plane image function is constructed,the continuous image function is transformed into discrete form,the corresponding number of rows and columns is found by scanning the image,and the three-dimensional laser image matrix is obtained by judging the point position..Experiments show that the difference between the image standard deviation and the actual image is only 0.25,the information entropy difference is only 0.1,and the average gradient difference is only 0.05,indicating that this method can enhance the low illumination image color.

关 键 词：三维激光扫描 低照度图像 图像色彩增强 图像特征提取 三维激光强度 

分 类 号：TN247[电子电信—物理电子学]