DDCATNet: Effective Deep Learning-Based Illumination Color Cast Estimation Approach for Achieving Computational Color Constancy

Ho-Hyoung Choi

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DOI: 10.3390/s26113313
Published: 2026-05-23
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26113313,
  title = {DDCATNet: Effective Deep Learning-Based Illumination Color Cast Estimation Approach for Achieving Computational Color Constancy},
  author = {Ho-Hyoung Choi},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26113313},
  url = {https://doi.org/10.3390/s26113313}
}

RIS

TY  - JOUR
TI  - DDCATNet: Effective Deep Learning-Based Illumination Color Cast Estimation Approach for Achieving Computational Color Constancy
AU  - Ho-Hyoung Choi
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26113313
UR  - https://doi.org/10.3390/s26113313
ER  -

APA

Choi, H. (2026). DDCATNet: Effective Deep Learning-Based Illumination Color Cast Estimation Approach for Achieving Computational Color Constancy. Sensors. https://doi.org/10.3390/s26113313

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crossref · retrieved 2026-11-10T07:57:28.376Z