• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Signal Processing and Communications Applications Conference >Image restoration for sparse aperture optical systems
【24h】

Image restoration for sparse aperture optical systems

机译：稀疏孔径光学系统的图像恢复

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Sparse aperture imaging systems offer high spatial resolution while keeping the total light collection area smaller compared to their fully filled (monolithic) versions. Such systems are of interest in remote sensing and medicine applications where the size, weight, and cost of the imaging system are important. However, these systems often suffer from low image quality resulting from the non-filled sparse aperture structure. In this work, total-variation based image restoration is used to improve the image quality of sparse aperture optical systems. To analyze the performance of image restoration, various periodic subaperture configurations are considered and comparison is also performed with classical Wiener filter. Numerical results demonstrate that sparse aperture imaging systems used with total-variation based image restoration can achieve similar resolution and image quality as with the equivalent fully filled aperture system.
机译：稀疏孔径成像系统提供高空间分辨率，同时与完全填充（整体）版本相比，保持总光收集区域更小。这种系统对成像系统的尺寸，重量和成本非常重要的遥感和药物应用感兴趣。然而，这些系统通常遭受由非填充稀疏孔径结构产生的低图像质量。在这项工作中，基于总变化的图像恢复用于改善稀疏孔径光学系统的图像质量。为了分析图像恢复的性能，考虑了各种周期性的子孔节配置并使用经典维纳滤波器进行比较。数值结果表明，与总体变化的图像恢复一起使用的稀疏孔径成像系统可以实现与等效完全填充的孔系统一样类似的分辨率和图像质量。

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