Title
Color Demosaicking using Direction Categorization
Abstract
We propose a novel color demosaicking algorithm using direction categorization. Each pixel is classified as vertical, horizontal or smooth before interpolation. The categorization is based on gradient change within same channel, color differences and neighbors categories, so it explores relationship between intra-and inter-color channels. Color artifacts in reconstructed images are significantly reduced because directions of interpolation across edges are greatly avoided. Experimental results show that our proposed algorithm has high PSNR and the visual quality of reconstructed images is also obviously improved.
Year
DOI
Venue
2007
10.1109/ICIP.2007.4379996
Image Processing, 2007. ICIP 2007. IEEE International Conference
Keywords
Field
DocType
image classification,image colour analysis,image reconstruction,image segmentation,interpolation,color artifacts,color demosaicking,direction categorization,image reconstruction,inter-color channels,interpolation,intra-color channels,pixel classification,Bayer Pattern,CCD,Categorization,Color interpolation,Digital cameras
Bayer filter,Iterative reconstruction,Categorization,Computer vision,Pattern recognition,Computer science,Interpolation,Demosaicing,Image segmentation,Artificial intelligence,Pixel,Contextual image classification
Conference
Volume
ISSN
ISBN
4
1522-4880 E-ISBN : 978-1-4244-1437-6
978-1-4244-1437-6
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Carman K. M. Yuk1162.29
oscar c au223036.16
Richard Y. M. Li300.34
Sui-yuk Lam461.59