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Image restoration, which aims to retrieve and enhance degraded images, is fundamental across a wide range of applications.
Image reconstruction and restoration: Overview of common estimation structures and problems
Guy Demoment · 1989
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Seeing through water: Image restoration using model-based tracking
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Contour detection and hierarchical image segmentation
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Waterloo exploration database: New challenges for image quality assessment models
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Deep multi-scale convolutional neural network for dynamic scene deblurring
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Attention is all you need
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A high-quality denoising dataset for smartphone cameras
Abdelrahman Abdelhamed, Stephen Lin, and Michael S Brown · 2018
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Noise2noise: Learning image restoration without clean data
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, and Timo Aila · 2018
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Benchmarking single-image dehazing and beyond
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Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2018
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A general decoupled learning framework for parameterized image operators
Qingnan Fan, Dongdong Chen, Lu Yuan, Gang Hua, Nenghai Yu, and Baoquan Chen · 2019
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Dynamic scene deblurring with parameter selective sharing and nested skip connections
Hongyun Gao, Xin Tao, Xiaoyong Shen, and Jiaya Jia · 2019
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Restoring images with unknown degradation factors by recurrent use of a multi-branch network
Xing Liu, Masanori Suganuma, Xiyang Luo, and Takayuki Okatani · 2019
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Effects of image degradation and degradation removal to cnn-based image classification
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You only cut once: Boosting data augmentation with a single cut
Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian Reid, Lars Petersson, and Hongdong Li · 2022
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Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, and Xinmei Tian · 2022
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Exploiting distortion information for multi-degraded image restoration
Wooksu Shin, Namhyuk Ahn, Jeong-Hyeon Moon, and Kyung-Ah Sohn · 2022
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Maxim: Multi-axis mlp for image processing
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Jstasr: Joint size and transparency-aware snow removal algorithm based on modified partial convolution and veiling effect removal
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Fast fourier convolution
Lu Chi, Borui Jiang, and Yadong Mu · 2020
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Yu Dong, Yihao Liu, He Zhang, Shifeng Chen, and Yu Qiao · 2020
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Image denoising using deep cnn with batch renormalization
Chunwei Tian, Yong Xu, and Wangmeng Zuo · 2020
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Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, and Baining Guo · 2020
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All snow removed: Single image desnowing algorithm using hierarchical dual-tree complex wavelet representation and contradict channel loss
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Chain-of-thought prompting elicits reasoning in large language models
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Restormer: Efficient transformer for high-resolution image restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang · 2022
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Accurate image restoration with attention retractable transformer
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Restore anything pipeline: Segment anything meets image restoration
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