Image enhancement based on quaternion fractional directional differentiation

被引:8
作者
Gao C.-B. [1 ]
Zhou J.-L. [1 ]
机构
[1] School of Computer Science, Sichuan University
来源
Zidonghua Xuebao/Acta Automatica Sinica | 2011年 / 37卷 / 02期
关键词
Fractional differentiation; Fractional stationary point; Gray projection; Quaternion; Quaternion fractional directional differentiation;
D O I
10.3724/SP.J.1004.2011.00150
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this paper, according to the developed fractional differentiation and its applications in modern signal processing, we extend it to the quaternion body and put forward a novel concept: quaternion fractional directional differentiation, for image enhancement. We first use a quaternion function to color image and give the definition and calculation method of the quaternion fractional directional derivative. Then, we deduce their numerical calculation templates along eight directions. According to the fractional directional differentiation along the eight directions, the maximum of the norm of quaternion fractional directional differentiation for every point in the image plane is found, then this maximum as the pixel value of this point is viewed, and the enhanced image is obtained. Experimental results show that our method can greatly increase high frequency, reinforce medium frequency, and non-linearly preserve low frequency of signals, hence it is superior to those based on the traditional methods of differentiation in visual effects. Copyright © 2011 Acta Automatica Sinica.
引用
收藏
页码:150 / 159
页数:9
相关论文
共 17 条
[1]  
Ji T.L., Sundarehan M.K., Roehrig H., Adaptive image contrast enhancement based on human visual properties, IEEE Transaction Medical Imaging, 13, 4, pp. 573-586, (1994)
[2]  
Chang D.C., Wu W.R., Image contrast enhancement based on a histogram transformation of local standard deviation, IEEE Transaction Medical Imaging, 17, 4, pp. 518-531, (1998)
[3]  
Yuan X.-S., Wang X.-T., Wang X.-Q., An adaptive image enhancement algorithm based on human visual properties, Acta Electronica Sinica, 27, 4, pp. 63-65, (1999)
[4]  
Jain A.K., Fundamentals of Digital Image Processing, (1989)
[5]  
Chen R., Lin X.-R., Ding T.-H., Assessment of iris image quality based on wavelet-based contourlet transform, Acta Automatica Sinica, 35, 5, pp. 618-621, (2009)
[6]  
Leo D.S., Ducati G., Quaternionic differential operators, Journal of Mathematical Physics, 42, 5, pp. 2236-2265, (2001)
[7]  
Deavours C.A., The quaternion calculus, The American Mathematical Monthly, 80, 9, pp. 995-1008, (1973)
[8]  
Bihan L.N., Mars J., Singular value decomposition of quaternion matrices: a new tool for vector-sensor signal processing, Signal Processing, 84, 7, pp. 1177-1199, (2004)
[9]  
Lang F.-N., Zhou J.-L., Yan B., Song E.-B., Zhong F., Obtain method of quaternion matrix orthogonal eigenvector set and its application in color face recognition, Acta Automatica Sinica, 34, 2, pp. 121-129, (2008)
[10]  
Oldham K.B., Spanier J., The Fractional Calculus: Theory and Applications of Differentiation and Integration to Arbitrary Order, (1974)