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| 利用演化算法自适应选取正则算子 | |
| 引用本文： | 曾三友,康立山,丁立新. 利用演化算法自适应选取正则算子[J]. 计算机研究与发展, 2003, 40(4): 584-588 |
| 作者姓名： | 曾三友 康立山 丁立新 |
| 作者单位： | 1. 中国地质大学计算机科学与技术系,武汉,430074;株洲工学院计算机科学与技术系,株洲,412008 2. 中国地质大学计算机科学与技术系,武汉,430074;武汉大学软件工程国家重点实验室,武汉,430072 3. 武汉大学软件工程国家重点实验室,武汉,430072 |
| 基金项目： | 国家自然科学基金 (60 0 73 0 43，70 0 710 42，60 13 3 0 10，60 2 0 40 0 1)，武汉青年科技晨光计划基金 (2 0 0 2 5 0 0 10 0 2 ) |
| 摘 要： | 提出一种新的技术，它自适应地选取正则算子以取得较理想的恢复效果．通过理论分析和实验发现当恢复图像残差的频谱能量分布较均匀时恢复效果较好．这种分布均匀性可以用正则图像残差的各子频段能量偏离平均能量的程度最小来衡量，这个最小化问题以各种各样的正则算子组成的空间为搜索空间．由于一般的优化算法对此优化问题无能为力，演化算法用来求解此问题，从而自适应地选择正则化算子．实验表明新方法选取的正则算子恢复效果较好． |
| 关 键 词： | 图像恢复 演化算法 小波变换 自适应选取正则算子 图像残差 图像处理 计算机 |
Adaptively Choosing Regularization Operator by Using an Evolutionary Algorithm in Image Restoration |
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| ZENG San You ,,KANG Li Shan ,,and DING Li Xin. Adaptively Choosing Regularization Operator by Using an Evolutionary Algorithm in Image Restoration[J]. Journal of Computer Research and Development, 2003, 40(4): 584-588 | |
| Authors: | ZENG San You KANG Li Shan and DING Li Xin |
| Affiliation: | ZENG San You 1,2,KANG Li Shan 1,3,and DING Li Xin 3 1 |
| Abstract: | A new technique is proposed to choose regularization operator adaptively in order to get good image restoration Theoretical analysis and experiment indicate that the restoration is good when the residue energy distribution of restored image is uniform The uniformity is measured by minimizing the dispersion of every subband of the residue from the average energy which is a function of regularization operator Evolutionary algorithm is employed to solve the minimization problem, so as to choose regularization operator adaptively, while other optimal algorithms are helpless to do that Experiment results show that the regularization operator selected by using the new technique is good for image restoration |
| Keywords: | regularization method image restoration evolutionary algorithm wavelet transform |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |