Paper Info
Title
An efficient demosaicing technique using geometrical information
Abstract
Color image sensors use color filter arrays (CFA) to capture information at each sensor pixel position and require color demosaicing to reconstruct full color images. The quality of the demosaicked image is hindered by the sensor characteristics during the acquisition process. In this work, we propose a bandelet-based demosaicing method for color images. To this end, we have used a spatial multiplexing model of color in order to obtain the luminance and the chrominance components of the acquired image. Then, a luminance filter is used to reconstruct the luminance component. Thereafter, based on the concept of maximal gradient of multivalued images, we propose an extension of the bandelet representation for the case of multivalued images. Finally, demosaicing is performed by merging the luminance and each of the chrominance component in the multivalued bandelet transform domain. The experimental evaluation of the proposed scheme shows beneficial performance over existing demosaicing approaches.
Year
DOI
Venue
2012
10.1109/ICIP.2012.6467478
Image Processing
Keywords
Field
DocType
computational geometry,filtering theory,gradient methods,image colour analysis,image segmentation,CFA,bandelet representation,chrominance component,color demosaicing,color filter arrays,color image sensors,efficient demosaicing technique,geometrical information,image mosaicking,luminance filter,maximal gradient,sensor pixel position,spatial multiplexing model,CFA,Demosaicing,bandelet transform
Bayer filter,Computer vision,Bandelet,Color histogram,Pattern recognition,Computer science,Chrominance,Demosaicing,RGB color model,Artificial intelligence,Color filter array,Color image
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4673-2532-5
978-1-4673-2532-5
1
PageRank 
References 
Authors
0.35
8
3
Name
Order
Citations
PageRank
Aldo Maalouf110.35
Mohamed-Chaker Larabi210.35
Sabine Süsstrunk34984207.02