• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国政府科技报告 >Symmetric Convolution. Using Unitary Transform Matrices: A New Approach to Image Reconstruction
【24h】

Symmetric Convolution. Using Unitary Transform Matrices: A New Approach to Image Reconstruction

机译：对称卷积。使用酉变换矩阵：一种新的图像重建方法

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

摘要

The Air Force images space-borne objects from the ground with optical systems that suffer from the effects of atmospheric turbulence. Many image processing techniques exist to alleviate these effects, but they are computationally complex and require large amounts of processing time. A faster image processing system would greatly improve images of objects observed through the turbulent atmosphere and help national strategists glean higher quality intelligence on other nations space platforms. One promising mathematical method to decrease the computational complexity of image processing algorithms involves symmetric convolution. Symmetric convolution is a recently discovered property of trigonometric transforms that allows the convolution of sequences to be calculated through point multiplication in the trigonometric transform domain. This method holds distinct advantages over existing matrix techniques. The versions of the transform matrices for symmetric convolution are similar but not exactly equal to standard unitary versions of trigonometric transforms. This paper demonstrates relationships between the two types of transform matrices, and then uses the new relationships to derive forms of the symmetric convolution-multiplication property based on unitary rather than convolutional forms of the transform matrices. It further describes how image processing algorithms based on unitary transforms can be included in future-generation optical surveillance systems.

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