影像超分辨率重建中的动态数据更新算法

基金项目: 国家863计划资助项目(2002AA783050);总参测绘局十五预研基金资助项目(40601020401)

详细信息

Dynamic Data Updating Algorithm for Image Superresolution

¹ Institute of Surveying and Mapping,Information Engineering University,66 Middle Longhai Road,Zhengzhou,450052,China; ² School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家863计划资助项目(2002AA783050);总参测绘局十五预研基金资助项目(40601020401)

摘要: 提出了一种具备动态数据更新能力的影像超分辨率重建算法,该算法以Delaunay三角化为基础,利用Delaunay三角网的局部可更新性质,能在目标影像的数据源发生变化的情况下仅针对变化数据对重建结果直接进行更新,较好地解决了常规影像超分辨率重建算法复杂度高、适用模型单一、稳健性差和病态求逆等问题。试验证明,该算法重建效率高,适应性强,适用于影像超分辨率重建的快速处理。
- 超分辨率 /
- 影像插值 /
- 影像配准 /
- Delaunay三角化
Abstract: The paper proposes a dynamic data updating algorithm for image superresolution.Based on Delaunay triangulation and its local updating property,this algorithm can update the changed region directly under the circumstances that only part of the source images has been changed.For its high efficiency and adaptability,this algorithm can serve as a fast algorithm for image superresolution.
- image superresolution /
- image interpolation /
- image registration /
- Delaunay triangulation