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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
Publication Date: 2013/04/01
Online ISSN: 1745-1361
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.