大视场高分辨率无色差的复眼相机阵列系统  

Compound eye camera array system with large field of view,high-resolution and achromatic aberration

作　　者：李文杰 刘学斌 杨洁[1] 邓欢[1] LI Wenjie;LIU Xuebin;YANG Jie;DENG Huan(College of Electronics and Information Engineering,Sichuan University,Chengdu 610065,China)

机构地区：[1]四川大学电子信息学院,四川成都610065

出　　处：《液晶与显示》2024年第10期1304-1312,共9页Chinese Journal of Liquid Crystals and Displays

基　　金：国家自然科学基金(No.U21B2034,No.62275179);四川省科技计划项目(No.2022YFG0326)。

摘　　要：为了解决单相机平台受高分辨率与大视场角之间矛盾制约的问题,本文提出了一种大视场、高分辨率、无色差的复眼相机阵列系统。结合人眼视觉成像理论,建立非均匀采样的仿生视觉模型,降低系统输入端的数据冗余;设计了一种多图像平滑加权融合算法,实现大视场图像无缝拼接;提出了一种基于多级迭代直方图匹配的色彩校正算法,提高了不同子相机间的色彩一致性;利用相邻子相机间重叠区域,对感兴趣区域(Region of Interest,ROI)进行多图像超分辨率重建。最终搭建了曲面相机阵列系统,实现了无色差大视场高分辨率图像的获取。实验结果表明,该系统能够达到单个子相机9倍的视场角与分辨率,并实现了ROI的4倍超分辨率重建。相比于典型的色彩校正算法HM,本文所提方法的PSNR和HSM指标分别提升了4.1%和15.9%,满足了多相机系统在复杂场景下的大视场、高分辨率、无色差的需求。In order to overcome the limitations of single-camera platform due to the trade-off between high resolution and large field of view,this paper proposed a compound eye camera array system capable of capturing wide field of view,high-resolution and achromatic images.Combined with the theory of human visual imaging,a non-uniform sampling biomimetic vision model was established to reduce data redundancy at the input of system.A smooth weighted fusion algorithm for multi-image was designed to stitch the large field of view image seamlessly.Additionally,a multi-level iterative histogram matching color correction algorithm was proposed to enhance color consistency among different sub-cameras.The overlapping regions between adjacent sub-cameras were utilized to perform multi-image super-resolution reconstruction on ROI(Regions of Interest).Ultimately,a curved camera array system was built up,enabling the acquisition of large-field of view high-resolution images without color deviation.Experimental results demonstrate that the proposed system achieves a 9-fold increase in both field of view and resolution compared to a single sub-camera,while achieving a 4-fold super-resolution reconstruction of ROI.Additionally,compared to typical color correction algorithms HM,the PSNR and HSM metrics of our proposed method are improved by 4.1%and 15.9%respectively.These results satisfy the demands of multi-camera systems for large field of view,high resolution and color-accurate images in complex scenarios.

关 键 词：复眼相机阵列 色彩一致性 直方图匹配 图像拼接 超分辨率重建 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]