【摘要】 提出了一种基于运动检测和自适应加权滤波的去隔行算法,该算法克服了运动自适应算法中受噪声影响较大及运动补偿算法的硬件实现复杂度高的缺点,在不需要进行准确的运动信息计算的前提下,保持了图像的空间特性与垂直细节。利用现场可编程门阵列(FPGA)进行验证和性能测试,实验结果表明,该算法在处理动态和静态视频信号时都能稳定地达到较好的效果,并且相对于传统的行平均算法节省了14.5%的硬件资源。更多还原

【Abstract】 A de-interlacing algorithm based on motion detection and adaptive weighted filter is proposed in this paper.The proposed algorithm can reduce the impact of loud noise in motion adaptive algorithms and high hardware cost in motion-compensated algorithms.This method can retain spatial and vertical details without accurate motion calculation.Logic functions and characteristics are verified in FPGA.The experimental results indicate that the algorithm reduces hardware resources by about 14.5 % compared with row-average algorithm and works well in both static and moving video image.更多还原