Localised colour matching between stereo pairs of images

Stephen Willey, Phil Willis, Ted Waine, Peter Hall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a technique for colour matching between stereo pairs of images. We use a pre-computed disparity map to find corresponding areas and achieve high quality results for localised colour grading. We avoid direct pixel-to-pixel matches and instead use a gridding system in order to constrain the area of focus and allow for a more subtle manipulation of colour. Our method maintains existing noise without introducing more, allowing it to be used in movie post-production without affecting other artistic decisions. We bring together elements from image correspondence algorithms and colour transfer techniques in order to manipulate localised areas to have a very close match.

Original languageEnglish
Title of host publicationProceedings of the 13th European Conference on Visual Media Production, CVMP 2016
PublisherAssociation for Computing Machinery
ISBN (Print)9781450347440
DOIs
Publication statusPublished - 12 Dec 2016
Event13th European Conference on Visual Media Production, CVMP 2016 - London, UK United Kingdom
Duration: 12 Dec 201613 Dec 2016

Conference

Conference13th European Conference on Visual Media Production, CVMP 2016
CountryUK United Kingdom
CityLondon
Period12/12/1613/12/16

Keywords

  • Colour correction
  • Image processing
  • Stereo

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Willey, S., Willis, P., Waine, T., & Hall, P. (2016). Localised colour matching between stereo pairs of images. In Proceedings of the 13th European Conference on Visual Media Production, CVMP 2016 [2998569] Association for Computing Machinery. https://doi.org/10.1145/2998559.2998569