基于SPGD算法的分布式光电传感器采集图像视觉传达增强  

Visual communication enhancement of distributed optoelectronic sensor images based on SPGD algorithm

作　　者：万乐 WAN Le(Zhengzhou University of Science and Technology,Zhengzhou 450052,China)

机构地区：[1]郑州科技学院,郑州450052

出　　处：《激光杂志》2025年第1期159-164,共6页Laser Journal

基　　金：河南省自然科学基金项目(No.202100530233)。

摘　　要：分布式光电传感器采集到的图像存在细节丢失的问题。针对上述问题,研究一种基于SPGD算法的分布式光电传感器采集图像视觉传达增强方法。对分布式光电传感器采集的图像进行颜色校正,以恢复图像的真实颜色。利用聚类算法将图像中的像素划分为若干个具有相似特性的同质区域。针对每个区域,利用SPGD算法实施细节增强处理,融合后,得到完整的视觉传达增强后的图像。结果表明:经过SPGD算法的增强,图像纹理变得更加清晰,细节部分得到了显著的增强,图像信息熵可达到16以上,MSE基本保持在0.1左右,PSNR值最高可达到33.5 dB,说明增强后图像包含更多的细节信息,失真较少,图像增强效果较好。There is a problem of detail loss in the images collected by distributed photoelectric sensors.To address the above issues,a distributed photoelectric sensor based image visual communication enhancement method based on SPGD algorithm is studied.Perform color correction on images collected by distributed photoelectric sensors to restore the true color of the image.Using clustering algorithms to divide pixels in an image into several homogeneous regions with similar characteristics.For each region,the SPGD algorithm is used to implement detail enhancement processing,and after fusion,the complete visual communication enhanced image is obtained.The results show that with the enhancement of SPGD algorithm,the image texture becomes clearer,the details are significantly enhanced,the image information entropy can reach over 16,the MSE is basically maintained at around 0.1,and the PSNR value can reach up to 33.5 dB,indicating that the enhanced image contains more detail information,has less distortion,and has a good image enhancement effect.

关 键 词：SPGD算法 分布式 光电传感器 采集图像 颜色校正 图像分割 视觉传达 增强方法 

分 类 号：TN53.66[电子电信]