August 6, 2025Journal of Human Centered Technology

Image Colour Correction of Smartphone-based Imaging Devices for Medical Application: A Literature Review

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Authors

WLWalter C. LowUniversity of Minnesota YHYuan Wen HauUniversity of Technology Malaysia COChia Yee OoiUniversity of Technology Malaysia

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Implication

Literature review reveals smartphone imaging's colour distortions affect diagnosis accuracy, suggesting critical improvements through colour constancy algorithms.

Key Points

Smartphone technology enhances digital imaging in healthcare but causes colour distortions affecting diagnosis accuracy.
Colour constancy algorithms mitigate distortions from varying smartphone models, improving image consistency.
The review summarizes advancements in colour correction algorithms and their importance for medical applications.
Standardizing colour representation across devices is crucial for accurate real-world scene reproduction in medical imaging.

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Low et al. (2025) studied this question.

synapsesocial.com/papers/689a0f99e6551bb0af8d158a https://doi.org/10.11113/humentech.v4n2.106

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Implication

Literature review reveals smartphone imaging's colour distortions affect diagnosis accuracy, suggesting critical improvements through colour constancy algorithms.

Image Colour Correction of Smartphone-based Imaging Devices for Medical Application: A Literature Review

Discussion

Member takes

Implication

Key Points

Cite This Study

Image Colour Correction of Smartphone-based Imaging Devices for Medical Application: A Literature Review

Discussion

Member takes

Implication

Key Points

Cite This Study

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