首页> 外文会议>Conference on Applied Optics and Photonics China >Joint chromatic aberration correction and color fringe removal for variable aperture optical system
【24h】

Joint chromatic aberration correction and color fringe removal for variable aperture optical system

机译:可变光圈光学系统的关节色差校正和彩色条纹拆除

获取原文

摘要

In this paper a novel way to correct chromatic aberration and remove the color fringe for variable aperture optical system considering the physical causes is proposed. From the perspective of the correlation between chromatic aberration and aperture, we explain why image fusion with different aperture parameters can effectively remove color fringing. Then we propose a specific color fringing detection and image fusion process. First, we detect the overexposed area of the large aperture image, perform grayscale grading on its neighborhood, extract the edges, and expand to obtain the candidate color fringing region. Then the two images are transformed to YCbCr color space to extract the purple fringe area by comparing the color information of the candidate color fringe area. Finally, we use the Cb and Cr channels of the small aperture image to correct the corresponding channels in the color fringing area and retain the brightness of the original image. Through image fusion, we can remove the color fringing caused by axial chromatic aberration and sensor crosstalk, and the residual lateral chromatic aberration can be corrected by simple image warp. Compared with the traditional blind restoration of color fringe regions, our method uses the hue information of small aperture image as a reference and no artifact is introduced. Experimental results show that both the subjective visual effects and objective evaluation have been significantly improved.
机译:在本文中,提出了考虑物理原因的校正色差和去除可变光圈光学系统的彩色边缘的新方法。从色差和孔径之间的相关性的角度来看,我们解释了为什么具有不同孔径参数的图像融合可以有效地去除颜色流苏。然后我们提出了一种特定的颜色命令检测和图像融合过程。首先,我们检测大孔径图像的过度曝光区域,在其邻域执行灰度分级,提取边缘,并展开以获得候选颜色命令区域。然后通过比较候选彩色条纹区域的颜色信息,将两个图像转换为YCBCR颜色空间以提取紫色边缘区域。最后,我们使用小光圈图像的CB和CR通道来校正颜色边缘区域中的相应通道,并保留原始图像的亮度。通过图像融合,我们可以去除由轴向色差和传感器串扰引起的颜色裂缝,并且可以通过简单的图像翘曲来校正残余横向色差。与传统盲恢复的彩色边缘区域相比,我们的方法使用小孔径图像的色调信息作为参考,并且没有引入伪像。实验结果表明,主观视觉效果和客观评估都得到了显着改善。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号