关键词: 去隔行, 运动检测, 空间周期模式运动, 边沿自适应插值

Abstract: This paper proposed a motion-adaptive de-interlacing algorithm with high performance based on the analysis of the advantages and disadvantages of traditional de-interlacing algorithm for video surveillance systems. The algorithm divided the picture into static region and motion region on the basis of the motion state of interpolation points through 4-field motion detection which could detect the spatial-periodic pattern moving. Field insertion algorithm was exploited for interpolation of the static region. A modified edge-adaptive interpolation algorithm was used for the interpolation of the motion region which could increase the function of horizontal edge detection and enhance the level of consistency edge direction estimation. The proposed interpolation algorithm was implemented on DSP for experimental verification. The results show that the algorithm improves Peak Signal-to-Noise Ratio (PSNR) and Structural SIMilarity (SSIM) and restrains saw-tooth, interline flicker, motion virtual image and other adverse effects and gets bettter visual effects.

Key words: de-interlacing, motion detection, spatial-periodic pattern moving, edge-adaptive interpolation