【24h】

Iterative Infrared Image Restoration

机译:迭代红外图像恢复

获取原文
获取原文并翻译 | 示例

摘要

Iterative infrared image restoration is concerned with the improvement of infrared imagery acquired in the presence of varying degradations. The degradations can arise from a variety of factors: common examples include undersampling of the infrared image data, uncontrolled platform or scene motion, system aberrations and instabilities, noise characteristic of the infrared detector. In this paper, the mathematic models of infrared image blur and sampling and noise models are discussed. The iterative infrared image restoration problem is discussed, too. We show the origin and restoration infrared images which are used in the application of iterative infrared image restoration. By assessing subjectively and objectively to restoration infrared images, we have verified this kind of model and the feasibility of the iterative infrared image restoration.
机译:迭代红外图像恢复涉及在变化程度不同的情况下获取的红外图像的改进。降级可能由多种因素引起:常见示例包括红外图像数据的欠采样,平台或场景运动不受控制,系统像差和不稳定性,红外检测器的噪声特性。本文讨论了红外图像模糊,采样和噪声模型的数学模型。还讨论了迭代红外图像恢复问题。我们展示了在迭代红外图像恢复应用中使用的原始和恢复红外图像。通过主观和客观地评估红外图像的恢复,我们已经验证了这种模型和迭代红外图像恢复的可行性。

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