Shadows in images often lead to reduced visual quality, inaccurate object detection, and poor analysis. Real-world applications (e.g., surveillance, robotics, autonomous vehicles) require accurate and clear image processing under varying lighting conditions. Therefore image enhancement via shadow removal is a vital part in image processing.
- Shadow region detection
- Shadow area removal and image enhancement
- Real time processing
- Shadow detection: Using image features such as color gradients, texture, and intensity values to identify shadow regions.
- Shadow removal: Applying image processing techniques to fill the detected shadow regions with realistic pixel values.
- Real-time processing: Optimizing the algorithm to run on high-resolution images without significant delays.