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Journal of Electronic Imaging

Low complexity block motion estimation using morphological-based feature extraction and XOR operations
Author(s): Thinh Minh Le; Ralph Mason; Sethuraman Panchanathan
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Paper Abstract

Motion estimation is a temporal image compression technique, where an nxn block of pixels in the current frame of a video sequence is represented by a motion vector with respect to the best matched block in a search area of the previous frame. In this paper, a low complexity technique for motion estimation is proposed. The proposed technique, first, reduces the n-bit grayscale frames into 1-bit binary frames using morphological filters, and determines the displacement of the edge features of the adjacent frames. While reduction in bit depth requires a small percentage of computation using the full pixel resolution, the search procedure is performed by simple XOR logic operations and 1-b distortion accumulations on the entire search area. Compared to other low complexity techniques, the proposed technique yields better frame reconstruction, operates using simpler arithmetic/logic operations, and possesses a higher degree of parallelism when implemented on a twodimensional single-instruction stream, multiple-data stream architecture.

Paper Details

Date Published: 1 April 2000
PDF: 7 pages
J. Electron. Imag. 9(2) doi: 10.1117/1.482732
Published in: Journal of Electronic Imaging Volume 9, Issue 2
Show Author Affiliations
Thinh Minh Le, Lumic Electronics Inc. (Canada)
Ralph Mason, Carleton Univ. (Canada)
Sethuraman Panchanathan, Arizona State Univ. (United States)


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