Research Of Image De-interlacing And Its Implementation On FPGA

With the high-speed development of high-end television and the research and application of digital television technique, the flaws caused by interlaced scan in traditional analog television, such as color-crawling, flicker and fast-moved object's boundary blur and zigzag, are more and more obvious. However, because of the economic development, analog television will still take its place in the TV market during a long period. Therefore the conversion of interlaced scan to progressing scan, which is de-interlacing, is an important part of current television production, such as digital video post-processing.Firstly, the paper focused on the research of today's de-interlacing algorithm, which including non-MC (Motion Compensation) method and MC method. Then, based on the results of the research, a new motion adaptive de-interlacing algorithm and its'FPGA implementation are presented in this paper.The proposed algorithm improved on both motion detection algorithm and intra-field interpolation algorithm. The new motion detection algorithm is accurate in detecting motion information and is efficient in eliminating noise by combining the 4-field based horizontal motion detection algorithm with BPP motion detection algorithm and by post-processing motion information with the mathematic morphological ways. An edge orientation based interpolation algorithm is applied during intra-field interpolation. To estimate the correct interpolation orientation, edge detection is performed on the moving region pixels. The moving region is further classified into four areas that are subjected to different appropriate interpolation methods. Experimental results show that the proposed algorithm can produce high quality. In the last section, FPGA implementation of the new algorithm is also presented.