Title :
A multilayer neural network for image demosaicking
Author_Institution :
CMLA, Ecole Normale Super. de Cachan, Cachan, France
Abstract :
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/.
Keywords :
image segmentation; neural nets; artificial neural networks; image demosaicking; multilayer neural network; natural image patch distribution; rotational invariance; Artificial neural networks; Image color analysis; Interpolation; Noise reduction; Training; distributional invariance; image demosaicking; multilayer neural network;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025371