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Updated: May 11, 2026
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Published on: July 11, 2025
Naturalness preserved enhancement algorithm for non-uniform illumination images
Shuhang Wang1, Jin Zheng, Hai-Miao Hu
1Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China. xiaohangpp@gmail.com
Summary
This study introduces a new image enhancement algorithm for non-uniform illumination. It improves detail enhancement while preserving naturalness, crucial for pleasing perceptual quality in images.
Area of Science:
- Computer Vision
- Image Processing
- Digital Signal Processing
Background:
- Image enhancement is vital for image analysis.
- Retinex-based algorithms are popular but struggle with naturalness in non-uniform illumination.
- Preserving naturalness is key for high perceptual quality in enhanced images.
Purpose of the Study:
- To propose an image enhancement algorithm for non-uniform illumination that preserves naturalness.
- To objectively measure naturalness preservation in image enhancement.
- To balance detail enhancement with naturalness in images.
Main Methods:
- A novel lightness-order-error measure was developed for objective naturalness assessment.
- A bright-pass filter was employed to decompose images into reflectance and illumination components.
- A bi-log transformation was introduced to optimize the illumination mapping for a balance between details and naturalness.
Main Results:
- The proposed algorithm effectively enhances image details.
- The algorithm successfully preserves the naturalness of non-uniform illumination images.
- Experimental results validate the algorithm's performance in balancing enhancement and naturalness.
Conclusions:
- The developed algorithm offers superior performance for enhancing non-uniform illumination images.
- The proposed methods provide objective metrics and effective techniques for naturalness preservation.
- This work advances image enhancement by addressing the critical aspect of perceptual naturalness.
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