23 June 2014 Constrained two-bit transform for low-complexity motion estimation
Changryoul Choi, Jechang Jeong
Author Affiliations +
Abstract
In transforming original image frames into two-bit representations, the typical two-bit transform (2BT) needs to calculate variances of the local blocks. This calculation of variances inevitably involves multiplication operations and renders the computational complexity of typical 2BT somewhat high. A constrained 2BT (C2BT) for low-complexity motion estimation (ME) is proposed. By exploiting advantages of the typical constrained one-bit transform (C1BT) and typical 2BT, the proposed algorithm significantly reduces the computational complexity of transformation of image frames into two-bit representations. Also, a corresponding matching criterion for C2BT is proposed to enhance the ME accuracy. Experimental results show that the proposed algorithm enhances the ME accuracy by 0.34 and 0.22 dB compared with 2BT-based ME and C1BT-based ME, respectively.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2014/$25.00 © 2014 SPIE
Changryoul Choi and Jechang Jeong "Constrained two-bit transform for low-complexity motion estimation," Optical Engineering 53(6), 063104 (23 June 2014). https://doi.org/10.1117/1.OE.53.6.063104
Published: 23 June 2014
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Motion estimation

Image filtering

Distortion

Optical engineering

Video compression

Algorithms

Binary data

RELATED CONTENT


Back to Top