• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Pattern recognition >Image Fusion Algorithm Using the Multiresolution Directional-Oriented Hermite Transform
【24h】

Image Fusion Algorithm Using the Multiresolution Directional-Oriented Hermite Transform

机译：基于多方向定向厄米变换的图像融合算法

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 Hermite transform is introduced as an image representation model for multiresolution image fusion with noise reduction. Image fusion is achieved by combining the steered Hermite coefficients of the source images, then the coefficients are combined with a decision rule based on the linear algebra through a measurement of the linear dependence. The proposed algorithm has been tested on both multi-focus and multi-modal image sets producing results that exceed results achieved with other methods such as wavelets, curvelets [11], and contourlets [2] proving that our scheme best characterized important structures of the images at the same time that the noise was reduced.
机译：引入了Hermite变换作为用于减少噪声的多分辨率图像融合的图像表示模型。图像融合是通过组合源图像的转向Hermite系数实现的，然后通过测量线性相关性，将这些系数与基于线性代数的决策规则进行组合。所提出的算法已在多焦点和多模式图像集上进行了测试，所产生的结果超过了其他方法（例如小波，curvelets [11]和contourlets [2]）所实现的结果，证明了我们的方案能够最好地描述图像的重要结构。减少噪音的同时拍摄图像。

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