Research And Application Of Video De-interlacing Technology

Scanning method of video display consists of interlaced scanning and progressive scanning.Interlaced scanning will cause jagged,flicker,line crawl and other undesirable effects,so progressive scanning is widely used.However,in order to reduce the transmission bandwidth,the mainstream TV broadcasting system still uses interlaced scanning to process the video signals to be transmitted.And the progressive television need format conversion after receiving interlaced signals,which is the process of de interlacing.The popular liquid crystal display in the market is non autonomous light emitting display,which needs backlight module as the light source.For the image of any content,backlight need fully opened,thus resulting in a waste of energy.Regional backlight adjustment method could solve the problem.But in order to make the display with the function of regional backlight adjustment show interlaced video source,de-interlacing technique is adopted to solve the problem.In view of the above two questions,this article main work and contribution are as follows:(1)De-interlacing is a key technology in the process of converting a interlaced video into a progressive video.But the traditional motion compensated de-interlacing algorithms often suffers from some trouble,such as error propagation,inaccurate motion estimation and high computation complexity.Thus a motion compensated de-interlacing algorithm based on parity consistency search was proposed.In addition,in view of the problem that the edge direction wasn't detected exactly in the traditional de-interlacing algorithms based on the edge direction,this paper proposed a multi-direction interpolation algorithm based on gradient-assisted.Finally,the above proposed de-interlacing algorithms,field merging interpolation and Line averaging interpolation were merged adaptively to form a hybrid de-interlace with adaptive interpolation based on temporal-spatial characteristics.Making use of the temporal-spatial characteristics of the video,the finally proposed algorithm effectively solves these problems that the wrong motion estimation and the inaccurate edge direction resulted in the mistaken interpolation.The experimental results show that compared with the traditional de-interlacing algorithms,the finally proposedalgorithm could offer 0.7dB PSNR gain under the low computational complexity.(2)In this paper,a rapid local backlight dimming algorithm is proposed for the interlaced scanning video.The proposed algorithm includes a deinterlacing algorithm to transform interlace into a progressive and rapid dimming algorithm to save energy of the liquid crystal display(LCD)backlight module.In order to reduce the computational complexity,a subinterval Maximum Between-cluster Variance model and a sparse process model were added.In addition,the backlight of even field data was the same as the odd field data.Compared with previous local dimming backlight control algorithms for the interlaced scanning video,this work reduced the computational complexity by 80% and maintained the same peak signal to noise ratio and backlight power consumption.