MATLAB Implementation of New True-Motion Estimation Technique and its Application to Motion-Compensated Temporal Frame rate up conversion

In multimedia communication video plays an importance, because it gives the very perfect flow of frames or image for our visual effect with good realistic view experience. So in this paper gives a new low complexity true motion estimation technique is introduced for video processing application, like motion-compensated temporal frame rate up conversion (MCTFRUC) or motion compensated temporal frame interpolation (MCTFI).In basically main role of motion estimation is to produce the motion vectors for reduce the temporal redundancy. Where as in this paper explains true motion estimation which is mainly used to track the motioned object as closely as possible by imposing the explicit and/or implicit smoothness constraints on block matching algorithm. To get the good interpolated frames the dense motion vector field is obtained for both forward and backward motion vectors is applied by adding both. Then the performance parameter is calculated and is produced, at last the good quality of video frame is produced with smoothly.