A rubber image enhancement method based on nonsubsampled contourlet transform
Author(s): LI Cheng, LUO Qie, DU Yuren, Sch of Inf Engin, Yangzhou Univ
Pages: 53-56
Year: 2014 Issue: 2
Journal: Journal of Yangzhou University(Natural Science Edition)
Keyword: image of rubber; image enhancement; nonsubsampled contourlet transform; HSV model;
Abstract: According to the traditional image enhancement algorithms about RGB model which is difficult to control hue information,a method combining non-sampling contourlet transform with HSV model is presented.This method is uses HSV model which is based on human visual characteristics to decompose image.With this method,the Hcomponent of the image is unchanged,and non-sampling contourlet transform is used to decompose the Vcomponent of the image in order to make the translation invarianced.The experiments show that the image enhancement algorithm used in this paper is not only significantly improves the clarity,but also has a high ratio of singal to noise.
Pages: 53-56
Year: 2014 Issue: 2
Journal: Journal of Yangzhou University(Natural Science Edition)
Keyword: image of rubber; image enhancement; nonsubsampled contourlet transform; HSV model;
Abstract: According to the traditional image enhancement algorithms about RGB model which is difficult to control hue information,a method combining non-sampling contourlet transform with HSV model is presented.This method is uses HSV model which is based on human visual characteristics to decompose image.With this method,the Hcomponent of the image is unchanged,and non-sampling contourlet transform is used to decompose the Vcomponent of the image in order to make the translation invarianced.The experiments show that the image enhancement algorithm used in this paper is not only significantly improves the clarity,but also has a high ratio of singal to noise.
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