Title
Linear colour correction for multiple illumination changes and non-overlapping cameras
Abstract
Many image processing methods, such as techniques for people re-identification, assume photometric constancy between different images. This study addresses the correction of photometric variations based upon changes in background areas to correct foreground areas. The authors assume a multiple light source model where all light sources can have different colours and will change over time. In training mode, the authors learn per-location relations between foreground and background colour intensities. In correction mode, the authors apply a double linear correction model based on learned relations. This double linear correction includes a dynamic local illumination correction mapping as well as an inter-camera mapping. The authors evaluate their illumination correction by computing the similarity between two images based on the earth mover's distance. The authors compare the results to a representative auto-exposure algorithm found in the recent literature plus a colour correction one based on the inverse-intensity chromaticity. Especially in complex scenarios the authors' method outperforms these state-of-the-art algorithms.
Year
DOI
Venue
2015
10.1049/iet-ipr.2014.0149
Image Processing, IET  
Keywords
Field
DocType
image colour analysis,image retrieval,image sensors,lighting,auto-exposure algorithm,background colour intensities,double linear correction model,dynamic local illumination correction mapping,foreground colour intensities,image processing methods,intercamera mapping,inverse-intensity chromaticity,linear colour correction,multiple illumination changes,nonoverlapping cameras,object retrieval,people reidentification,photometric constancy,photometric variation correction,similarity computation
Computer vision,Image sensor,Pattern recognition,Photometry (optics),Image retrieval,Image processing,Chromaticity,Color correction,Artificial intelligence,Local illumination,Light source,Mathematics
Journal
Volume
Issue
ISSN
9
4
1751-9659
Citations 
PageRank 
References 
0
0.34
16
Authors
4
Name
Order
Citations
PageRank
Juan Torres100.34
Klamer Schutte217318.26
Henri Bouma3506.88
Menéndez, J.-M.400.34