MATLAB Implementation of Dark Channel Prior Image Enhancement

Resource Overview

Complete MATLAB implementation of dark channel prior image enhancement algorithm with full source code, based on the original research by the algorithm's proposer.

Detailed Documentation

This text presents a MATLAB implementation of the dark channel prior image enhancement algorithm with complete source code provided. The dark channel prior enhancement method was originally developed by the algorithm's pioneering researcher. This algorithm effectively improves image clarity and contrast, resulting in brighter and more vivid images. Through this implementation, we can enhance image quality and make details more clearly visible. The complete source code serves as an educational resource for understanding and implementing the dark channel prior algorithm, enabling practical application in various projects. The implementation includes key functions for calculating dark channels, estimating atmospheric light, and refining transmission maps using soft matting techniques. For those interested in this algorithm, the provided source code offers a foundation for further research and customization to meet specific requirements. The code structure demonstrates practical MATLAB programming approaches for image processing, including matrix operations for efficient dark channel computation and guided filter implementation for transmission refinement.