Paper Info
Title
An edge-sensing generic demosaicing algorithm with application to image resampling.
Abstract
In this paper, we introduce a new demosaicing algorithm that can be used for various sensor images captured by digital cameras equipped with various red-green-blue color filter arrays. Our algorithm enhances the universal demosaicing algorithm of Lukac et al by defining a new spectral interpolation model that exploits not only the information on the color of pixels but also the relative distance between neighboring pixels within an image. Moreover, we include an edge-detection model that makes our algorithm adaptive and reduces the presence of color shifts and artifacts. A series of tests has been made on images of the Kodak database, and our algorithm performs better than the universal demosaicing algorithm with regard to both subjective and objective evaluation. The versatility of our demosaicing algorithm is also highlighted through an application to the issue of color image resampling, and we obtain conclusive experimental results.
Year
DOI
Venue
2011
10.1109/TIP.2011.2159229
IEEE Transactions on Image Processing
Keywords
Field
DocType
edge-detection model,new spectral interpolation model,various red,color shift,image resampling,algorithm adaptive,universal demosaicing algorithm,color image resampling,edge-sensing generic demosaicing algorithm,demosaicing algorithm,new demosaicing algorithm,blue color filter array,demosaicing,edge detection,color image,red green blue,mathematical model,color filter array,pixel,algorithm design,indexing terms,color,algorithm design and analysis,image segmentation,interpolation
Bayer filter,Edge detection,Image segmentation,Artificial intelligence,Color image,Computer vision,Algorithm design,Pattern recognition,Algorithm,Demosaicing,Pixel,Mathematics,Image scaling
Journal
Volume
Issue
ISSN
20
11
1941-0042
Citations 
PageRank 
References 
12
0.82
19
Authors
2
Name
Order
Citations
PageRank
Alain Horé11699.54
Djemel Ziou2139599.40