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《Chinese Journal of Liquid Crystals and Displays》 2012-03
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Image Processing Method of Dynamic Range With Wavelet Transform Based on Human Visual Gray Recognition Characteristics

TANG Yan-qiu1,2,ZHANG Xing-xiang1,LI Xin-e1,Ren Jian-yue1*(1.Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China, 2.Graduate University of Chinese Academy of Sciences,Beijing 100039,China)  
Due to a CCD and ADC restriction,the dynamic range of the commonly used image sensor is only about 60 dB,which does not coincide with the dynamic range(110 dB)of eyes,leading to the loss of partial details of the image.In this paper,an image extended dynamic range technique based on the wavelet transform would be proposed.By means of taking pictures of the same scene repeatedly,the source images of different exposure time were procured,which were further divided into high frequency part and the low frequency part by using multi-scale wavelet transform.The method based on human visual gray recognition features was applied to the processing of low frequency part.By using different weights for processing,the most background information possible of the image was retained.For the high frequency part,the local maximal variance criteria for fusion was used to maintain the image edges' characteristics to the greatest extent.Reconstruction is proceeded by using inverse wavelet transform to the merged high frequency part and low frequency part.Test results showed that comparing the reconstructive image and moderately exposed image,the details of information in the high brightness area and low light area was recovered,and the dynamic range got significant expansion.
【Fund】: 国家“863”高技术研究发展计划(No.863-2-5-1-13B)
【CateGory Index】: TP391.41
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