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《Journal of Yanshan University》 2009-06
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An algorithm for image weighted generalized fuzzy enhancement using wavelet packet transform

CUI Fa-yi, ZHENG De-zhong ( Measurement Technology and Instrumentation Key Lab of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China )  
Edge details of an image are rich in high frequency components. In view of the character of high-frequency high resolution for wavelet packet analysis, an algorithm is put forward for image weighted generalized fuzzy enhancement using wavelet packet transform. The selected image is decomposed by wavelet packet transform. Each decomposed sub-image is enhanced using fuzzy enhancement based on linear generalized fuzzy operator (LGFO), respectively. Before image reconstruction, different weight coefficients are assigned to enhanced sub-images. The process of weighted fuzzy enhancement for the original image is realized by wavelet packet reconstruction. Then the high-quality enhanced image with rich details and strong contrast can be obtained. The algorithm can achieve adaptive optimization for the fuzzy parameter using the quotient between edge measure degree and noise standard deviation as the quality standard of enhanced image.The experiments show that the edge contour of enhanced image is accurate, rich-details.
【Fund】: 教育部博士点基金资助项目(2006021600)
【CateGory Index】: TP391.41
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