Deinterlacing method for video signals based on motion-compensated interpolation

Abstract

Disclosed is a motion-compensated interpolation (MCI)-based deinterlacing method for converting video signals of an interlaced scanning format into those of a progressive scanning format. The deinterlacing method involves a motion vector estimation step, a video signal deinterlacing step, a deinterlacing side-effect check step, and a deinterlaced result select step. The motion vector estimation step includes the steps of estimating a motion vector by the unit of a ½ pixel, using the previous frame, the current field, and the future field, and estimating a motion vector by the unit of a ¼ pixel, using the previous frame and the future field. Based oh a motion vector estimated at the motion vector estimation step, the video signal is deinterlaced. The deinterlacing side-effect check is achieved by conducting a check for determining whether or not the estimated motion vector has a temporal consistency, a check for determining whether or not the estimated motion vector has a critical velocity, and a check for determining whether or not the estimated motion vector has a backward matching accuracy. When the result of the side-effect check is satisfactory, the result of the deinterlacing is accepted. On the other hand, when the result of the side-effect check is unsatisfactory, the result of a deinterlacing conducted based on a method other than the MIC is accepted.