| Piecewise Filter of Infrared Image Based on Moment Theory |
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| 作者姓名： | 高阳 李言俊 张科 |
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| 作者单位： | College of Astronautics, Northwestern Polytechnical University, Xi＇an 710072, China |
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| 基金项目： | Aeronautic Basic Science Foundation of China（04153067）. |
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| 摘 要： | The disadvantages of IR images mostly include high noise, blurry edge and so on. The characteristics make the existent smoothing methods ineffective in preserving edge, To solve this problem, a piecewise moment filter （PMF） is put forward. By using moment and piecewise linear theory, the filter can preserve edge. Based on the statistical model of random noise, a related-coefficient method is presented to estimate the variance of noise. The edge region and model are then detected by the estimated variance. The expectation of first-order derivatives is used in getting the reliable offset of edge. At last, a fast moment filter of double-stair edge model is used to gain the piecewise smoothing results and reduce the calculation. The experimental result shows that the new method has a better capability than other methods in suppressing noise and preserving edge.
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| 关 键 词： | 分段滤波器 抑制噪声 红外图象 力矩理论 |
| 文章编号： | 1673-002X（2007）01-0033-05 |
| 收稿时间： | 2006-03-27 |
Piecewise Filter of Infrared Image Based on Moment Theory |
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| GAO Yang,LI Yan-jun,ZHANG Ke.Piecewise Filter of Infrared Image Based on Moment Theory[J].Journal of China Ordnance,2007,3(1):33-37. |
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| Authors: | GAO Yang LI Yan-jun ZHANG Ke |
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| Abstract: | The disadvantages of IR images mostly include high noise, blurry edge and so on. The characteristics make the existent smoothing methods ineffective in preserving edge. To solve this problem, a piecewise moment filter (PMF) is put forward. By using moment and piecewise linear theory, the filter can preserve edge. Based on the statistical model of random noise, a related-coefficient method is presented to estimate the variance of noise. The edge region and model are then detected by the estimated variance. The expectation of first-order derivatives is used in getting the reliable offset of edge.At last, a fast moment filter of double-stair edge model is used to gain the piecewise smoothing results and reduce the calculation. The experimental result shows that the new method has a better capability than other methods in suppressing noise and preserving edge. |
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| Keywords: | information processing piecewise moment filter suppressing noise preserving edge estimating noise Theory Moment Based Infrared Image Filter experimental results new method better capability methods fast gain smoothing reduce calculation expectation derivatives used reliable |
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