研究目的
To propose a simple and fast enhancement technique for non-uniform illumination images based on dynamical stochastic resonance (DSR) that effectively enhances low-contrast images without introducing over-enhancement, detail loss, and noise amplification.
研究成果
The proposed DSR-based method effectively enhances non-uniform illumination images with a good balance of visibility and naturalness, and low computational complexity. It outperforms state-of-the-art methods in both subjective and objective assessments.
研究不足
The algorithm may not perform well in some darker regions, leading to unpleasing results in those areas.
1：Experimental Design and Method Selection:
The study employs a DSR-based iteration method to enhance non-uniform illumination images by solving the monostable Langevin equation. Iteration parameters are dynamically adjusted based on the intensity distribution of the original images.
2：Sample Selection and Data Sources:
The method is tested on various images taken under poor illumination conditions, including uniform, non-uniform, and extremely non-uniform dark images.
3：List of Experimental Equipment and Materials:
The experiments are conducted using MATLAB code on a computer with 4GB RAM and 3 GHz CPU.
4：Experimental Procedures and Operational Workflow:
The process involves converting RGB images to HSV color space, applying DSR-based iteration, dynamically adjusting parameters, defining a threshold for optimal output selection, and fusing the DSR result with original and illumination compensation components.
5：Data Analysis Methods:
Performance is evaluated using no-reference perceptual quality assessment (PQA), lightness order error (LOE), and computational time.
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