摘要
针对去隔行图像质量下降问题,该文提出了基于中值滤波与边缘插值的视频去隔行算法,利用改进的运动检测算法精确地检测出象素的运动状态,分别对静止象素采用场复制,运动象素采用三点中值滤波以及不确定运动状态象素采用改进的基于边缘的行平均算法。仿真结果表明该文算法有效提高了去隔行的性能,重建图像质量佳,且其峰值信噪比和结构相似度都要优于行平均算法、基于边缘的行平均算法、改进的基于边缘的行平均算法以及带运动检测的三点中值算法。
For the quality decline in the de-interlaced image,in this paper,we propose a video de-interlacing algorithm based on the median filter and edge interpolation,which uses the improved motion detection algorithm to accurately detect the pixel motion.We use field replication for static pixels,three-point median filter for movement-pixels and an improved edge-based line average algorithm for the uncertain-state pixels,respectively.Simulation results show that the proposed algorithm effectively improves the performance of de-interlacing and quality of reconstructed image.And its peak signal to noise ratio and structural similarity is better than the line average algorithm,edge-based line average algorithm,improved edge-based line average algorithm and three-point median algorithm with motion detection.
出处
《杭州电子科技大学学报（自然科学版）》
2011年第5期119-122,共4页
Journal of Hangzhou Dianzi University：Natural Sciences
关键词
运动检测
中值滤波
边缘插值
结构相似度
motion detection
median algorithm
edge interpolation
structural similarity
