文章基本信息

标题：Measurement of Minimum Resolvable Contrast Based on BP Neural Network
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作者：Wang Yun ; Li Wenjuan ; Liu Jie 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：6
页码：51-58
DOI：10.14257/ijsip.2013.6.6.05
出版社：SERSC
摘要：Aiming at the MTF evaluation limitations in visible imaging system, this paper introduces the minimum resolvable contrast. On the basis of MRC theoretical, the paper obtains subjective and objective methods of MRC measurement. Then MRC measurement based on neural network is put forward, which does not depend on subjective judgment of person. BP neural network is established and trained. Therefore, the network can replace human eyes to judge test patterns with different spatial frequencies and contrasts. Sony camera with 500 megapixels is selected in the experiment. Results show that MRC values of the objective measurement at all frequencies are less than those of the subjective measurement. The MRC Measurement has good stability.
关键词：imaging quality; MRC; BP neural network; objective measurement