Automatic wavelet base selection and its application to contrast enhancement

Authors:
H. D. Cheng;Rui Min;Ming Zhang
Affiliations:
Department of Computer Science, Utah State University, Logan, UT 84322-4205, USA;Department of Computer Science, Utah State University, Logan, UT 84322-4205, USA;Department of Computer Science, Utah State University, Logan, UT 84322-4205, USA
Venue:
Signal Processing
Year:
2010

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Abstract

In this paper, we propose a novel approach to automatic selecting wavelet bases and parameters which is an important and essential issue for implementing wavelet algorithms. The proposed approach is applied to contrast enhancement which is one of the fundamental topics in image processing, pattern recognition and computer vision. Our method utilizes wavelet transform to decompose the image, and then modifies the coefficients by employing the proposed method to perform contrast enhancement. Experimental results demonstrate that the proposed method is very efficient in contrast enhancement without under-enhancement and over-enhancement, and it is superior to some other existing methods.