Video Completion using Spline Interpolation


Completion is the process of rebuilding lost or degraded areas from frames of the video that result from mandatory or optionally removal in a way that does not visually notice. In this paper an efficient algorithm are proposed to fill the missing parts of the frames within the video, and try to remove static object (Logo) from frames of video. the proposed algorithm is Spline Interpolation using Chi square (SPICA) this algorithm is depended on chi square for completing, SPICA algorithm contain steps (texture analysis, horizontal and vertical spline interpolation filling, insertion of interpolated value and gray scale morphological operation) for completing. The results showed that the quality of SPCIA algorithm to fill the missing areas an efficient way, mean squared errors (MSE) of frames and peak signal to noise ratio (PSNR) are used for testing quality of completion.”