首页> 外文期刊>Applied optics >Fast registration and reconstruction of aliased low-resolution frames by use of a modified maximum-likelihood approach
【24h】

Fast registration and reconstruction of aliased low-resolution frames by use of a modified maximum-likelihood approach

机译:通过使用改进的最大似然方法快速配准和重建低分辨率低分辨率帧

获取原文
获取原文并翻译 | 示例
           

摘要

During the process of microscanning a controlled vibrating mirror typically is used to produce subpixel shifts in a sequence of forward-looking infrared (FLIR) images. If the FLIR is mounted on a moving platform, such as an aircraft, uncontrolled random vibrations associated with the platform can be used to generate the shifts. Iterative techniques such as the expectation-maximization (EM) approach by means of the maximum-likelihood algorithm can be used to generate high-resolution images from multiple randomly shifted aliased frames. In the maximum-likelihood approach the data are considered to be Poisson random variables and an EM algorithm is developed that iteratively estimates an unaliased image that is compensated for known imager-system blur while it simultaneously estimates the translational shifts. Although this algorithm yields high-resolution images from a sequence of randomly shifted frames, it requires significant computation time and cannot be implemented for real-time applications that use the currently available high-performance processors. The new image shifts are iteratively calculated by evaluation of a cost function that compares the shifted and interlaced data frames with the corresponding values in the algorithm's latest estimate of the high-resolution image. We present a registration algorithm that estimates the shifts in one step. The shift parameters provided by the new algorithm are accurate enough to eliminate the need for iterative recalculation of translational shifts. Using this shift information, we apply a simplified version of the EM algorithm to estimate a high-resolution image hom a given sequence of video frames. The proposed modified EM algorithm has been found to reduce significantly the computational burden when compared with the original EM algorithm, thus making it more attractive for practical implementation. Both simulation and experimental results are presented to verify the effectiveness of the proposed technique. (C) 1998 Optical Society of America. [References: 19]
机译:在微扫描过程中,通常使用受控的振动镜在前瞻性红外(FLIR)图像序列中产生子像素偏移。如果FLIR安装在移动平台(例如飞机)上,则与平台相关的不受控制的随机振动可用于生成偏移。诸如最大期望算法的期望最大化(EM)方法之类的迭代技术可用于从多个随机移位的别名帧生成高分辨率图像。在最大似然方法中,数据被认为是泊松随机变量,并且开发了一种EM算法,该算法可迭代估计未混淆的图像,该图像会补偿已知的成像系统模糊,同时会估计平移。尽管此算法可从一系列随机移位的帧中生成高分辨率图像,但它需要大量的计算时间,并且无法针对使用当前可用的高性能处理器的实时应用来实现。通过评估成本函数来迭代计算新的图像偏移,该代价函数将偏移和隔行扫描的数据帧与高分辨率图像的算法最新估计中的相应值进行比较。我们提出一种注册算法,可以一步估算出位移。新算法提供的移位参数足够准确,从而消除了对迭代移位进行迭代重新计算的需要。使用此移位信息,我们应用EM算法的简化版本来估计给定视频帧序列的高分辨率图像。已经发现,与原始的EM算法相比,提出的改进的EM算法显着减少了计算负担,从而使其对于实际实施更具吸引力。仿真和实验结果都被提出来验证所提技术的有效性。 (C)1998年美国眼镜学会。 [参考:19]

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