Proposal of Fast Single-Scale Retinex and Evaluation of Real-Time Human Pose Estimation Performance under Low-Light Conditions
DOI:
https://doi.org/10.51094/jxiv.1897Keywords:
Retinex theory, Single-Scale Retinex (SSR), Fast Single-Scale Retinex (FSSR), Illumination Correction, Real-time processing, Hand skeleton detection, AccelerationAbstract
In this study, we propose the Fast Single-Scale Retinex, an extension of the conventional Single-Scale Retinex, to achieve human pose estimation under low-light conditions, which has been challenging with existing methods. The proposed method extracts only the luminance component from an image and separates the illumination component in the logarithmic domain to correct non-uniform brightness. For pose estimation, we used MediaPipe and evaluated our method on a video comprising 955 frames. As a result, the mean squared error (MSE) after correction was 472.73, and the tonal range in dark regions was effectively enhanced, enabling accurate detection of fingertips and joint positions that were previously difficult to detect.
This method demonstrates effectiveness for applications in human analysis and behavior recognition under low-light conditions.
Conflicts of Interest Disclosure
The authors declare no conflict of interest.Downloads *Displays the aggregated results up to the previous day.
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Submitted: 2025-11-03 13:52:23 UTC
Published: 2025-11-12 00:55:51 UTC
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Copyright (c) 2025
Toma Okugawa
This work is licensed under a Creative Commons Attribution 4.0 International License.
