基于图像交叉分块的电子稳像算法

卜彦龙; 沈林成

doi:10.3724/SP.J.1146.2005.00770

基于图像交叉分块的电子稳像算法

doi: 10.3724/SP.J.1146.2005.00770

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出版历程
- 收稿日期: 2005-07-01
- 修回日期: 2005-12-09
- 刊出日期: 2007-03-19

A Novel Digital Image Stabilization Algorithm Based on Cross Sub-image Block

摘要

摘要: 该文提出一种基于图像交叉分块的电子稳像算法。该算法利用相邻两帧图像间存在相同特征的性质，首先通过对图像的交叉分块提取反映图像全局信息的特征点集合，然后根据运动模型建立能量函数，使相邻帧的特征点集合达到最佳匹配，同时获取全局运动参数，最后进行运动补偿以实现稳像目的。稳健的特征点与运动模型匹配相结合，能够有效地处理存在较大旋转和偏移的序列图像。通过强噪声实验表明，该算法具有较好的鲁棒性。
- 电子稳像;图像交叉分块;运动模型;特征匹配
Abstract: Based on cross sub-image block, a novel algorithm of digital image stabilization is presented, which makes use of the similar features existed between adjacent images. First, the representative points which represent global features are acquired through crossing sub-image blocks. Then, on the basis of motion model, energy function is structured, through which, the representative points between adjacent images are matched and global motion parameters can be estimated. Finally, the image stabilization process is realized via motion compensation with cumulated global motion parameters. The combination of representative points and motion model could produce good performance when the image fluctuation contains both translational and rotational motions. And results of strong noise experiments show the robust of the algorithm.

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[1] Kurazume R and Hirose S. Development of image stabilization system for remote operation of walking robots. Proceedings of the 2000 IEEE International Conference on Robotics and Automation[C], 2000: 1856-1861. [2] Yao Y S and Chellappa R. Electronic stabilization and feature tracking in long image sequences. Univ. Maryland, Tech. Rep. CAR-TR-790, September, 1995. [3] Ko S J, Lee S H, and Jeon S W, et al.. Fast digital image stabilizer based on gray-coded bit-plane matching[J].IEEE Trans. on Consumer Electronics.1999, 45(3):598-603 [4] Oshima M and Hayashi T, et al.. VHS camcorder with electronic image stabilizer[J].IEEE Trans. on Consumer Electronics.1989, 35(4):749-758 [5] Uomori K and Morimura A, et al.. Automatic image stabilizing system by full-digital signal processing. IEEE Trans. on Consumer Electronics[J], 1990, 36(3): 510-519. [6] 葛卫龙, 雷选华. 实现图像稳定的快速算法[J]. 红外与激光工程, 2004, 33(1): 43-46. [7] Paik J K, Park Y C, and Kim D W. An adaptive motion decision system for digital image stabilizer based on edge pattern matching[J].IEEE Trans. on Consumer Electronics.1992, 38(3):607-616 [8] Jin J S, Zhu Z G, and Xu G Y. A stable vision system for moving vehicles[J].IEEE Trans. on Intelligent Transportation Systems.2000, 1(1):32-39 [9] Chang J Y, Hu W F, and Cheng M H, et al.. Digital image translation and rotational motion stabilization using optical flow technique[J].IEEE Trans. on Consumer Electronics.2002, 48(1):108-115 [10] Egusa Y, Akahori H, and Morimura A, et al.. An application of fuzzy set theory for an electronic video camera image stabilizer[J].IEEE Trans. on Fuzzy Systems.1995, 3(3):351-356 [11] Zheng Q and Chellappa R. A computational vision approach to image registration[J]. IEEE Trans. on Image Processing, 1993(2): 311-326. [12] 盛骤, 谢式千, 潘承毅. 概率论数理统计[M]. 北京: 高等教育出版社, 1988, 1: 264-278. [13] Morimoto C and Chellappa R. Evaluation of image stabilization algorithms. Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing[C], 1998: 2789-2792.

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