本文已被：浏览 1287次 下载 2098次
Received:August 11, 2021 Revised:September 13, 2021
中文摘要: 该文主要对Zero-DCE (zero-reference deep curve estimation)图像增强网络进行改进. 针对图像在每层卷积过后, 图像内容细节随之丢失和噪声问题. 提出改进网络结构, 卷积层保留图像的主要内容, 增加反卷积层则用来补偿细节信息. 另外通过传递卷积层的特征图到反卷积层, 有助于解码器拥有更多的图像细节信息, 从而得到更好的干净图像. 此外引进残差网络, 对输入噪声图像和输出干净图像做差用于学习一个残差, 在降噪的同时也提升了图像清晰度. 最后通过图像质量评估方法PSNR (peak signal to noise ratio)和SSIM (structural similarity index)以及傅里叶变换进行测试分析, 结果表明提出的改进结构可以增加图像的细节信息并达到降噪效果.
Abstract:This study mainly deals with the improvement of the image enhancement network based on zero-reference deep curve estimation (Zero-DCE). Upon the image convolution in each layer, the image will lose some detailed content and confront noise problems, and thus an improved network structure is proposed. The convolutional layer retains the main content of the image, and the deconvolutional layer is added to compensate for the detail loss. The feature map of the convolutional layer is transmitted to the deconvolutional layer, which can help the decoder to obtain more image details for a cleaner image. In addition, a residual network is introduced to make a difference between the input noise image and the output clean image to learn a residual error, improving image clarity and reducing noise. Finally, the image quality evaluation methods, i.e., the peak signal to noise ratio (PSNR) and the structural similarity index measure (SSIM), and the Fourier transform are used for testing and analysis. The results show that the improved structure proposed can increase the image details and achieve the effect of noise reduction.
文章编号： 中图分类号： 文献标志码：
基金项目:山东省重大科技创新项目(2019JZZY010117, 2019JZZY010452, 2019JZZY020615, 2019JZZY020616, 2019JZZY010453)
| Author Name | Affiliation | E-mail |
| YE Feng | School of Mechanical Engineering, Shandong University, Jinan 250061, China
Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, Jinan 250061, China
National Experimental Teaching Demonstration Center of Mechanical Engineering, Shandong University, Jinan 250061, China | 2418218642@qq.com |
| ZHOU Jun | School of Mechanical Engineering, Shandong University, Jinan 250061, China
Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, Jinan 250061, China
National Experimental Teaching Demonstration Center of Mechanical Engineering, Shandong University, Jinan 250061, China | |
| HUANG Pan-Ling | School of Mechanical Engineering, Shandong University, Jinan 250061, China
Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, Jinan 250061, China
National Experimental Teaching Demonstration Center of Mechanical Engineering, Shandong University, Jinan 250061, China | |
| OU Jin-Shun | School of Mechanical Engineering, Shandong University, Jinan 250061, China
Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, Jinan 250061, China
National Experimental Teaching Demonstration Center of Mechanical Engineering, Shandong University, Jinan 250061, China | |
| LIN Le-Bin | School of Mechanical Engineering, Shandong University, Jinan 250061, China
Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, Jinan 250061, China
National Experimental Teaching Demonstration Center of Mechanical Engineering, Shandong University, Jinan 250061, China | |
| Author Name | Affiliation | E-mail |
| YE Feng | School of Mechanical Engineering, Shandong University, Jinan 250061, China
Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, Jinan 250061, China
National Experimental Teaching Demonstration Center of Mechanical Engineering, Shandong University, Jinan 250061, China | 2418218642@qq.com |
| ZHOU Jun | School of Mechanical Engineering, Shandong University, Jinan 250061, China
Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, Jinan 250061, China
National Experimental Teaching Demonstration Center of Mechanical Engineering, Shandong University, Jinan 250061, China | |
| HUANG Pan-Ling | School of Mechanical Engineering, Shandong University, Jinan 250061, China
Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, Jinan 250061, China
National Experimental Teaching Demonstration Center of Mechanical Engineering, Shandong University, Jinan 250061, China | |
| OU Jin-Shun | School of Mechanical Engineering, Shandong University, Jinan 250061, China
Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, Jinan 250061, China
National Experimental Teaching Demonstration Center of Mechanical Engineering, Shandong University, Jinan 250061, China | |
| LIN Le-Bin | School of Mechanical Engineering, Shandong University, Jinan 250061, China
Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, Jinan 250061, China
National Experimental Teaching Demonstration Center of Mechanical Engineering, Shandong University, Jinan 250061, China | |
引用文本：
叶丰,周军,皇攀凌,欧金顺,林乐彬.基于零参考深度曲线估计的图像增强网络改进.计算机系统应用,2022,31(6):324-330
YE Feng,ZHOU Jun,HUANG Pan-Ling,OU Jin-Shun,LIN Le-Bin.Improved Image Enhancement Network Based on Zero Reference Deep Curve Estimation.COMPUTER SYSTEMS APPLICATIONS,2022,31(6):324-330
