A DEEP CNN METHOD FOR UNDERWATER IMAGE ENHANCEMENT的详解

时间 2020-12-25

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论文：A DEEP CNN METHOD FOR UNDERWATER IMAGE ENHANCEMENT 作者：Yang Wang 年份：2017 期刊： IEEE International Conference on Image Processing 文章目录摘要 1 介绍优点现有的水下图像增强方法需要克服的挑战 2 提出的方法 2.1 水下成像模型 2.3 像素破坏策略 3 实验

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1. Deep Learning Underwater Image Color Correction and Contrast Enhancement Based on Hue Preservation
2. Underwater Image Enhancement: Using Wavelength Compensation and Image Dehazing(WCID)
3. Fast Underwater Image Enhancement for Improved Visual Perception
4. CVPR2020(Enhancement)：论文解读《Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement》
5. MyDLNote-Enhancement: [2020] Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
6. image enhancement
7. 解读Depth Map Prediction from a Single Image using a Multi-Scale Deep Network （1）
8. Visibility Enhancement for Underwater Visual SLAM based on Underwater Light Scattering Model
9. Learned Perceptual Image Enhancement笔记
10. Paper | Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

>>更多相关文章<<