DocumentCode
248331
Title
A multilayer neural network for image demosaicking
Author
Yi-Qing Wang
Author_Institution
CMLA, Ecole Normale Super. de Cachan, Cachan, France
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
1852
Lastpage
1856
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location
Paris
Type
conf
DOI
10.1109/ICIP.2014.7025371
Filename
7025371
Link To Document