激光与光电子学进展, 2012, 49 (2): 021003, 网络出版: 2012-01-04   

基于蛙跳算法的模糊图像复原

Blurred Image Restoration Based on Frog Leaping Algorithm
作者单位
1 鹤壁职业技术学院电信学院, 河南 鹤壁 458030
2 黄淮学院电子科学与工程系, 河南 驻马店 463000
摘要
为了提高模糊图像复原后的清晰度,提出蛙跳算法。将蛙群体分成若干个族群,每个族群包含若干只青蛙,每次进化只更新最差青蛙的位置。为防止解空间收缩,对最优个体进行高斯变异算子操作,同时设定阈值策略对蛙跳各维变量进行指导性更新。建立模糊图像复原模型,用蛙跳算法非线性映射特性建立模糊图像与复原的函数关系,使模糊图像复原的解最终收敛于泊松统计的最大似然解。建立了复原评价指标。仿真实验结果表明,与其他算法相比,蛙跳算法复原较清晰,改善百分比最大,同时耗时最少。
Abstract
In order to obtain clear restoration result from a blurred image, we propose the frog leaping algorithm. The frog population is divided into several groups, each ethnic group includes a number of frogs, and every evolution only updates the worst frog′s position. In order to prevent the solution space from contraction, the best individual is chosen to perform operation with the Gaussian mutation operator. A threshold value strategy is set to guide the update of the variables in various dimensions of frog leaping. The blurred image restoration model is established, in which the relation between blurred and restored images is set up with the nonlinear mapping characteristics of the frog leaping algorithm. The blurred image restoration solution converges on the Poisson statistical maximum likelihood solution. A recovery evaluation system is established. Simulation results show that the frog leaping outperforms other algorithms with the clearer recovery, the highest improvement percentage and the least time consumption.
参考文献

[1] 陈曦,汪彦刚,彭思龙. 部分模糊核已知的混合模糊图像复原算法[J]. 计算机辅助设计与图形学学报, 2010, 22(2): 272~278

    Chen Xi, Wang Yangang, Peng Silong. Restoration of degraded image from partially-known mixed blur[J]. J. Computer-Aided Design & Computer Graphics, 2010, 22(2): 272~278

[2] 厉丹,钱建生,芦楠楠 等. 高斯模糊噪声图像的图像复原算法的改进[J]. 计算机应用与软件, 2010, 27(10): 13~16

    Li Dan, Qian Jiansheng, Lu Nannan et al.. Improving image restoration algorithm for image with Gaussian blur noise[J]. Computer Applications and Software, 2010, 27(10): 13~16

[3] 张晓玲,沈兰韵. 超分辨率图像复原技术的研究进展[J]. 测控技术, 2005, 24(5): 1~5

    Zhang Xiaoling, Shen Lanyun. A survey of super resolution image reconstruction[J]. Measurement & Control Technology, 2005, 24(5): 1~5

[4] 万发平,刘志,张兆杨. 基于Hough变换的散焦模糊图像复原算法[J]. 电视技术, 2010, 34(10): 29~31,35

    Wan Faping, Liu Zhi, Zhang Zhaoyang. Out-of-focus blurred images restoration based on Hough transformation[J]. Video Engineering, 2010, 34(10): 29~31,35

[5] 黎明和,何斌,岳继光 等. 基于Z变换的局部匀速运动模糊图像恢复算法[J]. 光学学报,2009, 29(5): 1193~1197

    Li Minghe, He Bin, Yue Jiguang et al.. Blurred image restoration of local uniform motion based on Z transform[J]. Acta Optica Sinica, 2009, 29(5): 1193~1197

[6] 熊伟平, 曾碧卿. 几种仿生优化算法的比较研究[J]. 计算机技术与发展, 2010, 20(3): 9~12

    Xiong Weiping, Zeng Biqing. Studies on some bionic optimization algorithms[J]. Computer Technology And Development, 2010, 20(3): 9~12

[7] 张民,王向军,嵇斗 等. 一种新的进化规划算法[J]. 海军工程大学学报, 2008, 20(3): 40~43

    Zhang Min, Wang Xiangjun, Ji Dou et al.. A novel evolutionary programming[J]. J. Naval University of Engineering, 2008, 20(3): 40~43

[8] 王茜,张粒子,舒隽 等. 基于阈值选择策略的改进混合蛙跳算法在电网规划中的应用[J]. 电力系统保护与控制, 2011, 39(3): 34~39

    Wang Qian, Zhang Lizi, Shu Jun et al.. Application of improved shuffled frog leaping algorithm based on threshold selection strategy in transmission network planning[J]. Power System Protection And Control, 2011, 39(3): 34~39

[9] 胡小平,陈国良,毛征宇 等. 离焦模糊图像的维纳滤波复原研究[J]. 仪器仪表学报, 2007, 28(3): 479~482

    Hu Xiaoping, Chen Guoliang, Mao Zhengyu et al.. Study on Wiener filtering for restoration of defocus blur image[J]. Chinese J. Scientific Instrument, 2007, 28(3): 479~482

[10] 董俊. 基于BP神经网络的图像复原算法研究[D]. 西安: 西安科技大学, 2009. 30~45

    Dong Jun. Research on Image Restoration Algorithm Based on BP Network[D]. Xi′an: Xi′an University of Science and Technology,2009. 30~45

[11] 孟猛,王宇. 基于Hopfield网络的三维显微图像复原[J]. 武汉理工大学学报(交通科学与工程版), 2008, 32(2): 236~239

    Meng Meng, Wang Yu. Three-dimension microscopic image restoration based on the Hopfield network[J]. J. Wuhan University of Technology (Transportation Science & Engineering), 2008, 32(2): 236~239

[12] 陈云龙,王平,王鹏. 基于L-R非线性迭代的降质图像复原算法[J]. 计算机工程, 2010, 36(4): 202~204

    Chen Yunlong, Wang Ping, Wang Peng. Degradation image restoration algorithm based on L-R nonlinear iteration[J]. Computer Engineering, 2010, 36(4): 202~204

[13] 吴淑艳. 运动模糊图像复原算法研究[D]. 上海: 上海师范大学, 2009. 46~50

    Wu Shuyan. Motion Blurred Image Restoration Algorithm[D].Shanghai: Shanghai Normal University, 2009. 46~50

[14] 杨超,吴爱荣. 基于衰减因子的评价数据时效性处理方法[J]. 计算机工程与设计, 2010, 31(3): 684~686

    Yang Chao, Wu Airong. Method of evaluation data freshness based on reduction-factor[J]. Computer Engineering and Design, 2010, 31(3): 684~686

邵明省, 王其华. 基于蛙跳算法的模糊图像复原[J]. 激光与光电子学进展, 2012, 49(2): 021003. Shao Mingsheng, Wang Qihua. Blurred Image Restoration Based on Frog Leaping Algorithm[J]. Laser & Optoelectronics Progress, 2012, 49(2): 021003.

本文已被 4 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!