期刊文献+

改进的分数阶微分Tiansi算子图像增强

Image Enhancement based on Improvement Tiansi Operator of Fractional Differential
下载PDF
导出
摘要 为了提升图像纹理细节的信息,对已有图像增强模板的频率响应图进行特征分析,发现影响增强效果的根本原因是保证高频信息通过的同时更多的保留了低频信息.对分数阶微分Tiansi算子模板的频率响应图及滤波效果做了对比分析,发现已有分数阶微分Tiansi算子滤波效果图的全局平均灰度较低,视觉效果较差,原因在于低频信息保留太少.为此对已有分数阶微分Tiansi算子的模板做了调整,提高低频信息的通过率,得到新的分数阶微分Tiansi算子.实验表明改进的算子比其他的算法增强效果好. In order to promote enhancement effect to the image texture detail, a feature analysis technique is employed to analyze the frequency response chart of image enhancement template. Analysis results show that the basic reason of the influence enhancement effect lies in retaining more low frequency information while passing high frequency information. Comparing the frequency response chart of the fractional differential Tiansi operator and it' s filter effect, it is found out that the global average gray level of filtering rendering of the latest existing fractional differential Tiansi operator is lower, and resulting into that the visual effect of result image is poorer. The main reason is to retain too little low frequency information. Therefore, fractional differential Tiansi operator template is improved to upgrade the throughput rate of low frequency signal. A novel fractional differential Tiansi operator is obtained, the experimental result indicate that the proposed better enhancement effect than others.
出处 《广西民族大学学报(自然科学版)》 CAS 2013年第3期58-63,共6页 Journal of Guangxi Minzu University :Natural Science Edition
基金 广西自然科学基金(2012GXNSFAA053227)
关键词 频率响应 分数阶微分模板 分数阶积分模板 图像增强 frequency response fractional differential operator fractional integral operator image enhancement
  • 相关文献

参考文献7

二级参考文献61

  • 1袁晓,张红雨,虞厥邦.分数导数与数字微分器设计[J].电子学报,2004,32(10):1658-1665. 被引量:47
  • 2蒲亦非,袁晓,廖科,周激流,王永德.连续子波变换数值实现中尺度采样间隔的确定[J].四川大学学报(工程科学版),2004,36(6):111-116. 被引量:7
  • 3蒲亦非,袁晓,廖科,陈忠林,周激流.现代信号分析与处理中分数阶微积分的五种数值实现算法[J].四川大学学报(工程科学版),2005,37(5):118-124. 被引量:31
  • 4蒲亦非,袁晓,廖科,周激流.一种实现任意分数阶神经型脉冲振荡器的格形模拟分抗电路[J].四川大学学报(工程科学版),2006,38(1):128-132. 被引量:17
  • 5Pu Y F, Yuan X, Liao K, et al. Structuring analog fractance circuit for 1/2 order fractional calculus. In: Proceed- ings of the 6th International Conference on ASIC. Shanghai: IEEE, 2005. 1039--1042.
  • 6Pu Y F. Implement any fractional order multilayer dynamics associative neural network. In: Proceedings of the 6th International Conference on ASIC. Shanghai: IEEE, 2005. 635--638.
  • 7Pu Y F, Yuan X, Liao K, et al. A recursive net-grid-type analog fractance circuit for any order fractional calculus. In: Proceedings of IEEE International Conference on Mechatronics and Automation. Canada: IEEE, 2005. 1375 --1380.
  • 8Falconer K.分形几何-数学基础及其应用.曾文曲,刘世耀,译.东北工业学院出版社,1991.80-120.
  • 9Oldham K B, Spanier J. The Fractional Calculus. New York/London: Academic Press, 1974. 5-96.
  • 10MILLER K S, ROSS B. An introduction to the fractional calculus and fractional differential equations [M]. USA:John Wiley & Sons,1993.

共引文献213

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部