Image Deblurring Based on an Improved CNN-Transformer Combination Network
文献类型：期刊论文
| 作者 | X. L. Chen, Y. Y. Wan, D. H. Wang and Y. Q. Wang |
| 刊名 | Applied Sciences-Basel
 |
| 出版日期 | 2023 |
| 卷号 | 13期号:1页码:15 |
| DOI | 10.3390/app13010311 |
| 英文摘要 | Recently, using a CNN has been a common practice to restore blurry images due to its strong ability to learn feature information from large-scale datasets. However, CNNs essentially belong to local operations and have the defect of a limited receptive field, which reduces the naturalness of deblurring results. Moreover, CNN-based deblurring methods usually adopt many downsample operations, which hinder detail recovery. Fortunately, transformers focus on modeling the global features, so they can cooperate with CNNs to enlarge the receptive field and compensate for the details lost as well. In this paper, we propose an improved CNN-transformer combination network for deblurring, which adopts a coarse-to-fine architecture as the backbone. To extract the local features and global features simultaneously, the common methods are two blocks connected in parallel or cascaded. Different from these, we design a local-global feature combination block (LGFCB) with a new connecting structure to better use the extracted features. The LGFCB comprises multi-scale residual blocks (MRB) and a transformer block. In addition, we adopt a channel attention fusion block (CAFB) in the encoder path to integrate features. To improve the ability of feature representation, in the decoder path, we introduce a supervised attention block (SAB) operated on restoration images to refine features. Numerous experiments on GoPro and RealBlur datasets indicated that our model achieves remarkable accuracy and processing speed. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.ciomp.ac.cn/handle/181722/67386]  |
| 专题 | 中国科学院长春光学精密机械与物理研究所 |
| 推荐引用方式 GB/T 7714 | X. L. Chen, Y. Y. Wan, D. H. Wang and Y. Q. Wang. Image Deblurring Based on an Improved CNN-Transformer Combination Network[J]. Applied Sciences-Basel,2023,13(1):15. |
| APA | X. L. Chen, Y. Y. Wan, D. H. Wang and Y. Q. Wang.(2023).Image Deblurring Based on an Improved CNN-Transformer Combination Network.Applied Sciences-Basel,13(1),15. |
| MLA | X. L. Chen, Y. Y. Wan, D. H. Wang and Y. Q. Wang."Image Deblurring Based on an Improved CNN-Transformer Combination Network".Applied Sciences-Basel 13.1(2023):15. |
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