NDLI: Linear colour correction for multiple illumination changes and non-overlapping cameras

Content Provider	IET Digital Library
Author	Torres, Juan Schutte, Klamer Bouma, Henri Menéndez, Jose Manuel
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.
Starting Page	280
Ending Page	289
Page Count	10
ISSN	17519659
Volume Number	9
e-ISSN	17519667
Issue Number	Issue 4, Apr (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/9/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2014.0149
Journal	IET Image Processing
Publisher Date	2014-10-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Auto-exposure Algorithm Background Colour Intensities Computer Vision And Image Processing Technique Double Linear Correction Model Dynamic Local Illumination Correction Mapping Foreground Colour Intensities Image Colour Analysis Image Processing Method Image Retrieval Image Sonsor Information Retrieval Technique Intercamera Mapping Inverse-intensity Chromaticity Lighting Linear Colour Correction Multiple Illumination Changes Nonoverlapping Cameras Object Retrieval Optical, Image And Video Signal Processing People Reidentification Photometric Constancy Photometric Variation Correction Similarity Computation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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