【图像去噪】论文精读：Dual Residual Attention Network for Image Denoising（DRANet）
请先看【专栏介绍文章】：【图像去噪（Image Denoising）】关于【图像去噪】专栏的相关说明，包含适配人群、专栏简介、专栏亮点、阅读方法、定价理由、品质承诺、关于更新、去噪概述、文章目录、资料汇总、问题汇总（更新中）
文章目录
- 前言
- Abstract
- 1. Introduction
- 2. Related work
- 2.1. Blind denoising
- 2.2. Residual learning and dilated convolution
- 2.3. Attention mechanism
- 2.4. Dual denoising network
- 3. The proposed model
- 3.1. Network architecture
- 3.2. Residual attention block
- 3.3. Hybrid dilated residual attention block
- 3.4. Loss function
- 4. Experiments and results
- 4.1. Datasets
- 4.2. Experimental settings
- 4.3. Ablation study
- 4.4. The additive Gaussian noise removal evaluation
- 4.5. Real noise removal evaluation
- 4.6. Model complexity analysis
- 5. Conclusion and future work
前言
论文题目：Dual Residual Attention Network for Image Denoising —— 用于图像去噪的双剩余注意网络
论文地址：Dual Residual Attention Network for Image Denoising
论文源码：https://github.com/WenCongWu/DRANet
PR 2024！
Abstract
在图像去噪中，深度卷积神经网络(CNNs)在去除空间不变噪声方面具有良好的性能。然而，这些网