发明名称 SYSTEMS AND METHODS FOR TRAINING AN ACTIVE RANDOM FIELD FOR REAL-TIME IMAGE DENOISING
摘要 An Active Random Field is presented, in which a Markov Random Field (MRF) or a Conditional Random Field (CRF) is trained together with a fast inference algorithm using pairs of input and desired output and a benchmark error measure.
申请公布号 US2010020208(A1) 申请公布日期 2010.01.28
申请号 US20090508211 申请日期 2009.07.23
申请人 FLORIDA STATE UNIVERSITY RESEARCH FOUNDATION 发明人 BARBU ADRIAN GHEORGHE
分类号 H04N9/64;G06K9/40;G06T1/00;H04N5/217 主分类号 H04N9/64
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