best neighborhood matching

基本解释

For decreasing the computational complexity of searching process in best neighborhood matching method, a fast error concealment algorithm using successive elimination was proposed.
为了减少自相似错误隐藏算法中搜索过程的计算复杂度，提出了一种基于连续淘汰的快速自相似错误隐藏算法。
Best Neighborhood Matching (BNM) is a very good error concealment algorithm to achieve high quality image restoration. However, BNM needs intensive computation, which restricts its real application.
是目前对损坏图像进行修复并能产生高质量可接受图像的图像恢复算法，然而BNM却具有计算复杂度高的局限性，因而限制了其实际应用。