Joint Motion-Compensated Interpolation Using Eight-Neighbor Block Motion Vectors

Ran LI  Zong-Liang GAN  Zi-Guan CUI  Xiu-Chang ZHU  

IEICE TRANSACTIONS on Information and Systems   Vol.E96-D   No.4   pp.976-979
Publication Date: 2013/04/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E96.D.976
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
frame rate up-conversion (FRUC),  8-neighbor blocks,  minimum mean square error (MMSE),  Tikhonov regularization,  

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Novel joint motion-compensated interpolation using eight-neighbor block motion vectors (8J-MCI) is presented. The proposed method uses bi-directional motion estimation (BME) to obtain the motion vector field of the interpolated frame and adopts motion vectors of the interpolated block and its 8-neighbor blocks to jointly predict the target block. Since the smoothness of the motion vector filed makes the motion vectors of 8-neighbor blocks quite close to the true motion vector of the interpolated block, the proposed algorithm has the better fault-tolerancy than traditional ones. Experiments show that the proposed algorithm outperforms the motion-aligned auto-regressive algorithm (MAAR, one of the state-of-the-art frame rate up-conversion (FRUC) schemes) in terms of the average PSNR for the test image sequence and offers better subjective visual quality.