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《Journal of Northeast Normal University(Natural Science Edition)》 2009-04
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Algorithm of image definition evaluation based on lifting wavelet transform

WANG Xin,LIU Chang(College of Computer Science and Technology,Changchun University of Technology,Changchun 130012,China)  
A new measure based on lifting wavelet transform was proposed for the image noise by the energy of high-frequency and low-frequency subbands after the second-level decomposition.The performance of this new measure was compared with the classic and popular focus measures variance,laplace and another wavelet-based high frequency focus measure.Detailed simulations as well as real data show that the new algorithm can measure image definition correctly with the highest sensitivity in noisy condition while enhancing computation efficiency and are more accurate,stable and reliable.
【Fund】: 吉林省科技发展计划项目(20070332)
【CateGory Index】: TP391.41
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