Face Image Restoration based on sample patterns usingMLP Neural Network
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 1
Abstract
Abstract: In this paper, a sample based face image restoration method using MLP neural networks ispresented. First, an HR (High Restoration) image is changed to a number of LR (Low Resolution) images by theobservation model. Then, using a set of patches extracted from HR & LR images the MLP network istrained. After the training, a model is created which can be used for restoration. The proposedalgorithm has been applied on ORL database. The sensitivity of algorithm to geometry changes andnoise level was studied. The results reveal that the proposed method had better results of statisticalcriteria and visual evidences respect to some other methods.
Authors and Affiliations
Mahdi Nadiri Andabili , Kaveh Kangarloo , Fardad Farokhi
Keywords
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