大视场高分辨率无色差的复眼相机阵列系统OA北大核心CSTPCD

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.