An Alternative Image Enhancement Method for Non-Uniform Illumination Images

This presents the source code for an alternative image enhancement method specifically designed for images with non-uniform illumination. The implementation has been successfully compiled and demonstrates excellent enhancement performance. This method effectively improves image brightness and contrast, resulting in clearer and more visually appealing images. The core algorithm employs histogram equalization techniques, which redistribute pixel values to achieve more balanced illumination distribution across the image. The implementation includes adjustable parameter strategies that allow customization based on specific image characteristics, enabling optimal enhancement results. Through extensive research and experimental validation, we have confirmed the method's effectiveness and reliability in meeting various image enhancement requirements across different scenarios. The code structure incorporates key functions for histogram calculation, pixel value mapping, and parameter optimization, providing a robust framework for handling illumination variations.