影像超分辨率重建中的动态数据更新算法
Dynamic Data Updating Algorithm for Image Superresolution
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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。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.
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