Modified Constrained Two-bit Transform for Motion Estimation

Motion estimation (ME) using bit-plane matching (BPM) algorithm has been proposed. The bit-plane matching algorithm transforms original images into bit-planes and performs a fast block matching process using the bit-planes. Two-bit transform (2BT) transforms an image frame into two bit planes with local window mean and variance values as threshold values. Constrained two-bit transform (C2BT) was proposed to reduce the calculation complexity and enhance the ME accuracy of the previous 2BT based ME. In this paper, modified C2BT for ME is proposed to enhance the ME accuracy by using modified transform method. Experimental results show that the proposed algorithm enhance the ME accuracy.

[1]  Sarp Erturk Exploiting the full potential of Two-Bit Transform based motion estimation , 2011, 2011 IEEE International Conference on Consumer Electronics (ICCE).

[2]  David Flynn,et al.  HEVC Complexity and Implementation Analysis , 2012, IEEE Transactions on Circuits and Systems for Video Technology.

[3]  Sarp Ertürk,et al.  Constrained One-Bit Transform for Low Complexity Block Motion Estimation , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[4]  Jechang Jeong,et al.  Constrained two-bit transform for low complexity motion estimation , 2013, 2013 IEEE International Conference on Consumer Electronics (ICCE).

[5]  Oguzhan Urhan,et al.  Truncated gray-coded bit-plane matching based motion estimation and its hardware architecture , 2009, 2009 IEEE 17th Signal Processing and Communications Applications Conference.

[6]  Sarp Ertürk Multiplication-Free One-Bit Transform for Low-Complexity Block-Based Motion Estimation , 2007, IEEE Signal Processing Letters.

[7]  Konstantinos Konstantinides,et al.  Low-complexity block-based motion estimation via one-bit transforms , 1997, IEEE Trans. Circuits Syst. Video Technol..

[8]  Sarp Ertürk,et al.  Two-bit transform for binary block motion estimation , 2005, IEEE Transactions on Circuits and Systems for Video Technology.