Linear color correction for multiple illumination changes and non-overlapping cameras

Torres Arjona, Juan and Schutte, Klamer and Bouma, Henri and Menendez Garcia, Jose Manuel (2015). Linear color correction for multiple illumination changes and non-overlapping cameras. "IET Image Processing", v. 9 (n. 4); pp. 280-289. ISSN 1751-9659. https://doi.org/10.1049/iet-ipr.2014.0149.

Description

Title: Linear color correction for multiple illumination changes and non-overlapping cameras
Author/s:
  • Torres Arjona, Juan
  • Schutte, Klamer
  • Bouma, Henri
  • Menendez Garcia, Jose Manuel
Item Type: Article
Título de Revista/Publicación: IET Image Processing
Date: April 2015
Volume: 9
Subjects:
Freetext Keywords: Image sensors; lighting; image colour analysis; image retrieval
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 35648
DC Identifier: http://oa.upm.es/35648/
OAI Identifier: oai:oa.upm.es:35648
DOI: 10.1049/iet-ipr.2014.0149
Official URL: http://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2014.0149
Deposited by: Memoria Investigacion
Deposited on: 22 Jun 2015 16:11
Last Modified: 22 Jun 2015 16:11
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