Title :
Remote Sensing Image Enhancement Based on Fractional Differential
Author_Institution :
Sch. of Sci., Chongqing Jiaotong Univ., Chongqing, China
Abstract :
A new method is proposed based on fractional differential, which can enhance the remote sensing image, especially the texture details. First, the properties of fractional differential are discussed, and some important conclusions are drawn. Then, the numerical algorithm of fractional differential is studied, and an operator is constructed, by which the operation of fractional differential can be implemented through image convolution. Lastly, a strategy based on the principle of maximum entropy is given, by which the differential order can selected automatically in the process of the image enhancement. The experimental results indicate that the proposed method is effective, and has better result for remote sensing image compared with other methods.
Keywords :
convolution; differentiation; geophysical image processing; geophysical techniques; image enhancement; image texture; maximum entropy methods; remote sensing; fractional differential; image convolution; maximum entropy; numerical algorithm; remote sensing image enhancement; texture detail; Entropy; Fractional calculus; Frequency domain analysis; Histograms; Image edge detection; Image enhancement; Remote sensing; fractional differential; image enhancement; image entropy; remote sensing image; texture detail;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
DOI :
10.1109/ICCIS.2010.218