1 April 2000 Low complexity block motion estimation using morphological-based feature extraction and XOR operations
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J. of Electronic Imaging, 9(2), (2000). doi:10.1117/1.482732
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.
Thinh Minh Le, Ralph Mason, Sethuraman Panchanathan, "Low complexity block motion estimation using morphological-based feature extraction and XOR operations," Journal of Electronic Imaging 9(2), (1 April 2000). http://dx.doi.org/10.1117/1.482732
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KEYWORDS
Motion estimation

Binary data

Distortion

Image processing

Array processing

Beam propagation method

Feature extraction

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