计算机应用与软件
計算機應用與軟件
계산궤응용여연건
COMPUTER APPLICATIONS AND SOFTWARE
2014年
10期
206-208,223
,共4页
图像修复%图像补全%纹理合成%局部平均灰度熵
圖像脩複%圖像補全%紋理閤成%跼部平均灰度熵
도상수복%도상보전%문리합성%국부평균회도적
Image inpainting%Image completion%Texture synthesis%Local average gray entropy
使用块拼贴的基于样本的图像修复算法运行时间主要取决于最佳样本块匹配步骤的执行效率。目前算法普遍采用全局搜索获取样本块，逐一与待修复块进行相似性比对，修复质量和修复效率依赖于采样区域的范围大小。为提高计算效率，提出一种基于局部平均灰度熵的图像修复算法，在每次迭代中根据待修复块邻域窗的平均灰度熵自适应确定采样区域范围。实验结果证明，所提算法相较经典Criminisi修复算法提高了修复质量，且大大提高了修复效率。
使用塊拼貼的基于樣本的圖像脩複算法運行時間主要取決于最佳樣本塊匹配步驟的執行效率。目前算法普遍採用全跼搜索穫取樣本塊，逐一與待脩複塊進行相似性比對，脩複質量和脩複效率依賴于採樣區域的範圍大小。為提高計算效率，提齣一種基于跼部平均灰度熵的圖像脩複算法，在每次迭代中根據待脩複塊鄰域窗的平均灰度熵自適應確定採樣區域範圍。實驗結果證明，所提算法相較經典Criminisi脩複算法提高瞭脩複質量，且大大提高瞭脩複效率。
사용괴병첩적기우양본적도상수복산법운행시간주요취결우최가양본괴필배보취적집행효솔。목전산법보편채용전국수색획취양본괴，축일여대수복괴진행상사성비대，수복질량화수복효솔의뢰우채양구역적범위대소。위제고계산효솔，제출일충기우국부평균회도적적도상수복산법，재매차질대중근거대수복괴린역창적평균회도적자괄응학정채양구역범위。실험결과증명，소제산법상교경전Criminisi수복산법제고료수복질량，차대대제고료수복효솔。
The operation time of sample-based image inpainting algorithms using block collage mainly depends on execution efficiency of the best sample blocks matching procedure.Currently these algorithms commonly adopt global search to obtain sample blocks for similarity comparison with the blocks to be inpainted one by one,and the range size of the sampling region has great influence on the inpainting quality and efficiency.For improving computation efficiency,we propose a novel image inpainting algorithm which is based on local average gray entropy,in iteration it determines adaptively the size of sampling region according to the average gray entropy of the neighbouring window of the block to be inpainted every time.Experimental results show that the proposed algorithm improves the inpainting quality compared with classic Criminisi inpainting algorithm,besides,it also greatly raises the inpainting efficiency.
