基于场相关性的运动自适应去隔行算法  

Motion adaptive de-interlacing algorithm based on correlation of field

作　　者：史久根[1] 刘军[1] 

机构地区：[1]合肥工业大学安全关键工业控制技术教育部工程研究中心安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2013年第7期807-810,共4页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(60873003);广东省教育部产学研结合基金资助项目(20098090300302)

摘　　要：文章提出了一种新型的基于场相关性的运动自适应去隔行算法,该方法通过局部均值的场尺度平滑算法对原始图像进行预处理,然后通过计算相邻场间像素的相关性将场分为静止区域和运动区域,其中静止区域通过相邻2场的合并进行去隔行处理,而运动区域采用边缘分类的场插值算法。实验结果表明,该算法比已有算法在峰值信噪比上提高6.1dB,同时在用户对画面的主观视觉体验上,也达到了很好的视觉效果。A novel motion adaptive de-interlacing algorithm based on correlation of field is proposed in this paper. The local mean field scale smoothing algorithm is used to preprocess the original filed, then the adjacent pixel correlation properties are calculated to divide the field into static areas and motive areas. The merger of adjacent two fields is applied to the static areas, and the field interpolation algorithm based on the edge classification is proposed for the motive areas. The experimental results show that the peak signal-to-noise ratio using this algorithm is higher than that of existing algorithm by 6. 1dB, and a satisfying visual experience of the user with the image is obtained.

关 键 词：去隔行 运动自适应 场相关性 边缘分类 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]