best neighborhood matching

基本解釋

For decreasing the computational complexity of searching process in best neighborhood matching method, a fast error concealment algorithm using successive elimination was proposed.
為了減少自相似錯誤隱藏算法中搜索過程的計算復雜度，提出了一種基于連續(xù)淘汰的快速自相似錯誤隱藏算法。
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.
是目前對損壞圖像進行修復并能產生高質量可接受圖像的圖像恢復算法，然而BNM卻具有計算復雜度高的局限性，因而限制了其實際應用。