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Article

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Title

Per-Pixel Manifold-Based Color Calibration Technique

Authors

[ 1 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ 2 ] Instytut Telekomunikacji Multimedialnej, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technologies
[2.3] Information and communication technology

Year of publication

2025

Published in

Applied Sciences

Journal year: 2025 | Journal volume: vol. 15 | Journal number: iss. 6

Article type

scientific article

Publication language

english

Keywords
EN
  • color correction
  • multiview
  • multi-camera
  • virtual views
Abstract

PL In this paper, we present a method for obtaining a manifold color correction transform for multiview images. The method can be applied in various scenarios, for correcting the colors of stitched images, adjusting the colors of images obtained in different lighting conditions, and performing virtual view synthesis based on images taken by different cameras or in different conditions. The provided derivation allows us to use the method to correct regular RGB images. The provided solution is specified as a transform matrix that provides the pixel-specific color transformation for each pixel and therefore is more general than the methods described in the literature, which only provide the transformed images without explicitly providing the transform. By providing the transform for each pixel separately, we can introduce a smoothness constraint based on the transformation similarity for neighboring pixels, a feature that is not present in the available literature.

Pages (from - to)

3128-1 - 3128-19

DOI

10.3390/app15063128

URL

https://www.mdpi.com/2076-3417/15/6/3128

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / journal

100

Impact Factor

2,5 [List 2023]

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