首页> 外文期刊>IEEE Transactions on Image Processing >Identification and restoration of spatially variant motion blurs in sequential images
【24h】

Identification and restoration of spatially variant motion blurs in sequential images

机译:识别和恢复连续图像中空间变化的运动模糊

获取原文
获取原文并翻译 | 示例
       

摘要

Sequential imaging cameras are designed to record objects in motion. When the speed of the objects exceeds the temporal resolution of the shutter, the image is blurred. Because objects in a scene are often moving in different directions at different speeds, the degradation of a recorded image may be characterized by a space-variant point spread function (PSF). The sequential nature of such images can be used to determine the relative motion of various parts of the image. This information can be used to estimate the space-variant PSF. A modification of the Landweber iteration is developed to utilize the space-variant PSF to produce an estimate of the original image.
机译:顺序成像相机旨在记录运动中的物体。当物体的速度超过快门的时间分辨率时,图像模糊。由于场景中的对象通常以不同的速度在不同的方向上移动,因此记录图像的降级可以通过空间变化点扩展函数(PSF)来表征。这样的图像的顺序性质可以用于确定图像的各个部分的相对运动。该信息可用于估计空间变量PSF。开发了对Landweber迭代的修改,以利用时变PSF生成原始图像的估计值。

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