Single Image Haze Removal Using Dark Channel Prior Algorithm
- Login to Download
- 1 Credits
Resource Overview
This program implements the "Single Image Haze Removal Using Dark Channel Prior" algorithm, demonstrating effective haze removal with optimized performance
Detailed Documentation
This program is developed based on the algorithm presented in the research paper "Single Image Haze Removal Using Dark Channel Prior." The implementation processes images to effectively remove haze and improve image quality and clarity. The algorithm utilizes the dark channel prior principle to estimate atmospheric light and transmission map, then employs an inverse atmospheric scattering model to recover haze-free images. Key implementation steps include calculating the dark channel using minimum filters, estimating atmospheric light from the brightest pixels in dark regions, and refining the transmission map through soft matting or guided filtering techniques. Testing results show that this algorithm achieves satisfactory performance in haze removal applications. We hope this program helps enhance your image quality and meets your specific requirements.
- Login to Download
- 1 Credits