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Reseach Article
Motion Adaptive Compensation Approach for Deinterlacing of Video Sequences
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 15 - Number 3 |
| Year of Publication: 2011 |
| Authors: S.sreekanth, Y.Chakrapani, K. Udya Sri |
10.5120/1929-2575
|
S.sreekanth, Y.Chakrapani, K. Udya Sri . Motion Adaptive Compensation Approach for Deinterlacing of Video Sequences. International Journal of Computer Applications. 15, 3 ( February 2011), 18-24. DOI=10.5120/1929-2575
Abstract
A de-interlacing algorithm using adaptive 4-field motion compensation approach is presented. It consists of block-based directional edge interpolation, same- parity 4-field motion detection, 4-field motion estimation and compensation. The intra field methods are reconstructed the frame from the current field information .but this method introduce the edge flicker problems and jitter effect. The inter field methods are depends on the previous and future fields for reconstruction of the current frame. This method introduces feathering effect. The edges are sharper when the directional edge interpolation is adopted and jitter effect and the feathering effect eliminated. The motion adaptive deinterlacing scheme is taking the advantages of both intra and inters field methods. First it finds the motion by using motion detection scheme if the field contain motion apply intra field interpolation method if the field contain stationary objects apply the inter field interpolation method. The 3-field motion detection can not detect the fast motion areas from field to field. The same parity 4-field motion adaptive deinterlacing and the 4-field motion compensation detect the static areas and fast motion by four reference fields. The Compensation recovers the interlaced videos to the progressive ones but the feathering effect is not recovered in this method. The adaptive 4-field motion compensation method removes the feathering effect along with detecting fast motion areas by using four reference fields. Experimental results show that the peak signal-to-noise ratio of our adaptive 4-field motion compensation deinterlacing algorithm is 4 to 6 dB higher than that of 3-field motion adaptive deinterlacing and 2 to 3 dB higher than 4-field motion compensation deinterlacing and attain the best quality of video.
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