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Báo cáo hóa học: " Research Article Probabilistic Global Motion Estimation Based on Laplacian Two-Bit Plane Matching for Fast Digital Image Stabilization"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Probabilistic Global Motion Estimation Based on Laplacian Two-Bit Plane Matching for Fast Digital Image Stabilization | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 180582 10 pages doi 10.1155 2008 180582 Research Article Probabilistic Global Motion Estimation Based on Laplacian Two-Bit Plane Matching for Fast Digital Image Stabilization Nam-Joon Kim 1 Hyuk-Jae Lee 1 and Jae-Beom Lee2 1 Inter-University Semiconductor Research Center ISRC Department of Electrical Engineering and Computer Science Seoul National University Seoul 151-744 South Korea 2Sarnoff Corporation P.O. Box 5300 201 Washington Road Princeton NJ 08543 USA Correspondence should be addressed to Hyuk-Jae Lee hjlee_paper@capp.snu.ac.kr Received 25 May 2007 Revised 11 November 2007 Accepted 21 December 2007 Recommended by D. O Shaughnessy Digital image stabilization DIS is a technique to prevent images captured by a handheld camera from temporal fluctuation. This paper proposes a new DIS algorithm that reduces the computation time while preserving the accuracy of the algorithm. To reduce the computation time an image is transformed by a Laplacian operation and then converted into two one-bit spaces called L and L spaces. The computation time is reduced because only two-bits-per-pixel are used while the accuracy is maintained because the Laplacian operation preserves the edge information which can be efficiently used for the estimation of camera motion. Either two or four subimages in the corners of an image frame are selected according to the type of the image and five local motion vectors with their probabilities to be a global motion vector are derived for each subimage. The global motion vector is derived from these local motion vectors based on their probabilities. Experimental results show that the proposed algorithm achieves a similar or better accuracy than a conventional DIS algorithm using a local motion estimation based on a full-search scheme and MSE criterion while the complexity of the proposed algorithm is much less than the conventional algorithm. .