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Updated: May 28, 2026
11:57
Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
Published on: May 20, 2013
Adaptive Atmospheric Light Estimation for Dehazing via a Novel Decoupled Scattering Model with Neutral-Pixel and
1School of Computer Engineering, Jinling Institute of Technology, Nanjing 211169, China.
Journal of Imaging
|May 26, 2026
Summary
This study introduces a new method for estimating atmospheric light (AL) to improve image dehazing. The novel approach enhances color accuracy and exposure balance in dehazed images.
Area of Science:
- Computer Vision
- Image Processing
- Computational Photography
Background:
- Accurate atmospheric light (AL) estimation is crucial for image dehazing within atmospheric scattering models (ASM).
- Existing methods often assume uniform AL and use distant pixels, leading to color distortion and exposure imbalance.
Purpose of the Study:
- To develop a novel framework for decoupling AL into distinct color and intensity components for improved image dehazing.
- To address limitations of current AL estimation techniques, specifically color casts and exposure imbalances.
Main Methods:
- Introduced a neutral pixel prior (NPP) for precise AL color estimation, eliminating color casts.
- Developed an adaptive global-local fusion strategy for AL intensity estimation, incorporating luminance perception and a depth-related color prior (DRCP) for balanced exposure.
Main Results:
- The proposed method significantly outperforms state-of-the-art AL estimation techniques.
- Dehazed images exhibit enhanced color fidelity and more natural illumination.
Conclusions:
- The novel framework effectively decouples AL color and intensity for superior image dehazing.
- The method provides a significant advancement in achieving high-quality, natural-looking dehazed images.
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