A multilayer neural network for image demosaicking

The recent revival of interest in artificial neural networks has been fueled by their successful applications in various image processing and computer vision tasks. In this work, we make use of the rotational invariance of the natural image patch distribution and propose a 4 × 4 patch based multilay...

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Main Author: Yi-Qing Wang
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
distributional invariance
Image color analysis
image demosaicking
Interpolation
multilayer neural network
Noise reduction
Training
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description The recent revival of interest in artificial neural networks has been fueled by their successful applications in various image processing and computer vision tasks. In this work, we make use of the rotational invariance of the natural image patch distribution and propose a 4 × 4 patch based multilayer neural network for image demosaicking. We show that it does surprisingly well compared to state-of-the-art approaches requiring much larger neighborhoods. An online demo can be found at http://dev.ipol.im/~yiqing/ipol_demo/neuaick/.
doi_str_mv 10.1109/ICIP.2014.7025371
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subjects Artificial neural networks
distributional invariance
Image color analysis
image demosaicking
Interpolation
multilayer neural network
Noise reduction
Training
title A multilayer neural network for image demosaicking
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