Joint Deep Estimation of Intrinsic and Dichromatic Image Decomposition

Jeong Won Ha, Kang Kyu Lee, Jong Ok Kim

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes an image formation model that jointly combines dichromatic and intrinsic image decomposition models. The two decomposition models analyze image formation process from a different perspective, and they can be combined synergistically. It is confirmed that the proposed method performs better than the individual decomposition. The joint estimation and the study of the decomposition order ('intrinsic + dichromatic' or 'dichromatic + intrinsic') are the first attempt to the best of our knowledge. It was confirmed that the proposed 'intrinsic + dichromatic' is more optimal through experimental evaluations. We also exploit the temporal property of AC light sources, which can further improve the decomposition performance. The experimental results show that the proposed model can make an accurate image decomposition and achieve a remarkable color constancy performance.

Original languageEnglish
Pages (from-to)41770-41782
Number of pages13
JournalIEEE Access
Volume11
DOIs
Publication statusPublished - 2023

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Keywords

  • AC light
  • Intrinsic image decomposition
  • color constancy
  • dichromatic model
  • high-speed video

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering

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