| 摘 要: 针对指针式仪表图像的聚焦模糊问题,提出使用基于改进的DeblurGAN网络的图像去模糊处理方法。由 于原始网络输入输出大小均为256×256,修复的图像分辨率相对较低,本文将网络作出相应调整,使其输入输出大小更 改为512×512,并采集制作了模糊数据集,实验结果表明修复的图像质量得到了很大的提升。 |
| 关键词: 指针式仪表;图像去模糊;改进的DeblurGAN |
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中图分类号: TP249
文献标识码: A
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| Research on the Image Deblurring Method of Pointer Instruments based on Improved DeblurGAN |
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CHENG Yonghong, HU Xuxiao, WANG Yongli, DING Nannan, WANG Wei
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( Faculty of Mechanical Engineering & Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China)
yonghong_cheng@foxmail.com; huxuxiao@zju.edu.cn; 1004376731@qq.com; 3296362443@qq.com; WW1909@126.com
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| Abstract: To resolve the issue of blurring image of dashboard pointer of an instrument caused by camera focal length, the paper proposes an image deblurring method based on an improved DeblurGAN algorithm. Because the input and output sizes of original network are only 256×256, the resolution of restored image is low and the repair effect is poor. The study adjusts the network to change the sizes of input and output to 512×512, and generates datasets of pointer instruments. The experimental results show that the quality of the repaired image has been greatly improved. |
| Keywords: pointer instrument; image deblurring; improved DeblurGAN |
