Frame Interpolation Algorithm Using Improved 3-D Recursive Search

A low-complexity and high efficiency method for Motion-Compensated Frame Interpolation is developed in this paper. The 3-D recursive search technique is used together with bilateral motion estimation scheme to predict the block motion vector field without yielding the hole and overlapping problems. A stepwise multi-stage block-motion estimation scheme is designed to deal with the complex motion object in a block. To reduce the block artifact and keep the computational efficiency, a simplified median filter is developed to smooth the estimated motion vector field. Experimental results show that the proposed algorithm provides a better image quality than several broadly used methods both objectively and subjectively. The high computational efficiency makes this proposed algorithm a useful tool for real-time decoder of high-quality video sequences.

[1]  Jinsheng Xiao,et al.  Detail enhancement of image super-resolution based on detail synthesis , 2017, Signal Process. Image Commun..

[2]  Rae-Hong Park,et al.  Coarse-to-fine frame interpolation for frame rate up-conversion using pyramid structure , 2003, IEEE Trans. Consumer Electron..

[3]  Jiang Li,et al.  A low complexity motion compensated frame interpolation method , 2005, 2005 IEEE International Symposium on Circuits and Systems.

[4]  Marc Duranton,et al.  Meandering based parallel 3DRS algorithm for the multicore era , 2010, 2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE).

[5]  Chia Ming Wu,et al.  A New Block Matching Algorithm for Motion Estimation , 2016 .

[6]  Hyun-Soo Kang,et al.  Frame rate up-conversion method based on texture adaptive bilateral motion estimation , 2014, IEEE Transactions on Consumer Electronics.

[7]  Michael T. Orchard,et al.  Overlapped block motion compensation: an estimation-theoretic approach , 1994, IEEE Trans. Image Process..

[8]  Myung Hoon Sunwoo,et al.  New Frame Rate Up-Conversion Algorithms With Low Computational Complexity , 2014, IEEE Transactions on Circuits and Systems for Video Technology.

[9]  Gerard de Haan,et al.  True-motion estimation with 3-D recursive search block matching , 1993, IEEE Trans. Circuits Syst. Video Technol..

[10]  Charalampos Dimoulas,et al.  High accuracy block-matching sub-pixel motion estimation through detection of error surface minima , 2018, Multimedia Tools and Applications.

[11]  J.-L. Wu,et al.  Quality Enhancement of Frame Rate Up-Converted Video by Adaptive Frame Skip and Reliable Motion Extraction , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[12]  Gamini Dissanayake,et al.  Recursive Bayesian estimation of NFOV target using diffraction and reflection signals , 2016, 2016 19th International Conference on Information Fusion (FUSION).

[13]  C.-C. Jay Kuo,et al.  Motion-compensated interpolation for low-bit-rate video quality enhancement , 1998, Optics & Photonics.

[14]  Kang-Sun Choi,et al.  Motion-Compensated Frame Interpolation Using a Parabolic Motion Model and Adaptive Motion Vector Selection , 2011 .