Optimized contrast enhancement for real-time image and video dehazing
项目与作者主页：http://mcl.korea.ac.kr/projects/dehazing/#userconsent# 推荐一个实现：https://www.cnblogs.com/Imageshop/p/3925461.html 摘要 本文提出了一种针对含有雾的图像和视频快速、完善的去雾算法。观察发现有雾的图像普遍具有低对比度，我们通过增强对比度来修复图像。然后多度的增强这些低对比度会截断
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相关文章
- 1. Underwater Image Enhancement: Using Wavelength Compensation and Image Dehazing(WCID)
- 2. Locally Adaptive Color Correction for Underwater Image Dehazing and Matching
- 3. Deep Learning Underwater Image Color Correction and Contrast Enhancement Based on Hue Preservation
- 4. Image and Video Compression Techniques
- 5. A Dynamic Histogram Equalization for Image Contrast Enhancement（matlab实现）
- 6. 《Learning Enriched Features for Real Image Restoration and Enhancement》
- 7. MyDLNote-Enhancement: [2020] Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
- 8. 论文笔记：Domain Adaptation for Image Dehazing
- 9. image enhancement
- 10. Spatially Adaptive Residual Networks for Efficient Image and Video Deblurring