• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Infrared physics and technology >An improved retina-like nonuniformity correction for infrared focal-plane array
【24h】

An improved retina-like nonuniformity correction for infrared focal-plane array

机译：改进的红外焦平面阵列视网膜样不均匀校正

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The non-uniform response in infrared focal plane array (IRFPA) detectors produces corrupted images with nonuniformity noise. This paper mainly proposes an improved adaptive nonuniformity correction (NUC) method based on the retina-like neural network approach. The main purpose of NUC method is to obtain reliable estimations of gain and offset parameters. In this paper the two correction parameters are updated with two different learning rates respectively for the purpose of updating these two parameters synchronously. And then more accurate estimations of the two correction parameters can be obtained. Again, in order to reduce the ghost artifacts normally introduced by the strong edge effectively, the proposed algorithm employs the non-local means (NLM) method to estimate the desired target value of each detector. The proposed NUC method has been tested by applying it to the IR sequence of frames with simulated nonuniformity noise and real nonuniformity noise, respectively. The performance comparisons are implemented with the well-established scene-based NUC techniques. And the experimental results show the efficiency of the proposed method. (C) 2015 Elsevier B.V. All rights reserved.
机译：红外焦平面阵列（IRFPA）检测器中的非均匀响应会产生带有非均匀噪声的损坏图像。本文主要提出了一种基于类视网膜神经网络方法的改进的自适应非均匀校正方法。 NUC方法的主要目的是获得增益和偏移参数的可靠估计。在本文中，两个校正参数分别以两个不同的学习率进行更新，以同步更新这两个参数。然后可以获得两个校正参数的更准确的估计。再次，为了有效地减少通常由强边缘引入的重影伪影，所提出的算法采用非局部均值（NLM）方法来估计每个检测器的期望目标值。所提出的NUC方法已通过将其分别应用于模拟非均匀噪声和真实非均匀噪声的帧的IR序列进行了测试。使用比较完善的基于场景的NUC技术可以实现性能比较。实验结果表明了该方法的有效性。 （C）2015 Elsevier B.V.保留所有权利。

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