Wang, Y.M.[Yuan Mei], and
Lu, W.X.[Wei Xue],
Multicriterion Image Reconstruction and Implementation,
CVGIP(46), No. 1, April 1989, pp. 131-135.
Elsevier DOI
BibRef
8904
Gao, H.[Hu],
Yang, J.[Jing],
Zhang, Y.[Ying],
Wang, N.[Ning],
Yang, J.F.[Jing-Fan],
Dang, D.P.[De-Peng],
Prompt-Based Ingredient-Oriented All-in-One Image Restoration,
CirSysVideo(34), No. 10, October 2024, pp. 9458-9471.
IEEE DOI Code:
WWW Link.
2411
Degradation, Image restoration, Task analysis, Transformers,
Adaptation models, Decoding, Data models, Image restoration, prompt
BibRef
Gao, H.[Hu],
Zhang, Y.[Ying],
Yang, J.[Jing],
Dang, D.P.[De-Peng],
Mixed hierarchy network for image restoration,
PR(161), 2025, pp. 111313.
Elsevier DOI Code:
WWW Link.
2502
Image restoration, Mixed hierarchy architecture, Adaptive feature fusion
BibRef
Gao, H.[Hu],
Ma, B.[Bowen],
Zhang, Y.[Ying],
Yang, J.F.[Jing-Fan],
Yang, J.[Jing],
Dang, D.P.[De-Peng],
Frequency domain task-adaptive network for restoring images with
combined degradations,
PR(158), 2025, pp. 111057.
Elsevier DOI Code:
WWW Link.
2411
Image restoration, Frequency domain-based gate, Task-adaptive,
Combined degradations
BibRef
Gao, H.[Hu],
Dang, D.P.[De-Peng],
Exploring Richer and More Accurate Information via Frequency
Selection for Image Restoration,
CirSysVideo(35), No. 3, March 2025, pp. 2689-2700.
IEEE DOI Code:
WWW Link.
2503
Image restoration, Frequency-domain analysis, Transformers,
Decoding, Information filters, Convolution, Degradation,
skip feature fusion
BibRef
Cui, Y.N.[Yu-Ning],
Ren, W.Q.[Wen-Qi],
Knoll, A.[Alois],
Omni-Kernel Modulation for Universal Image Restoration,
CirSysVideo(34), No. 12, December 2024, pp. 12496-12509.
IEEE DOI
2501
Image restoration, Transformers, Kernel, Task analysis,
Fast Fourier transforms, Degradation, Frequency modulation,
all-in-one image restoration
BibRef
Wu, Z.J.[Zhi-Jian],
Liu, W.H.[Wen-Hui],
Wang, J.C.[Jing-Chao],
Li, J.[Jun],
Huang, D.J.[Ding-Jiang],
FrePrompter: Frequency self-prompt for all-in-one image restoration,
PR(161), 2025, pp. 111223.
Elsevier DOI
2502
Image restoration, Prompt learning, Frequency learning
BibRef
Zhu, L.H.[Lie-Huang],
Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image
Restoration,
CirSysVideo(35), No. 5, May 2025, pp. 4619-4634.
IEEE DOI Code:
WWW Link.
2505
Image restoration, Degradation, Adaptation models, Multitasking,
Optimization, Correlation, Noise reduction, Libraries, Interference,
expert selection
BibRef
Yang, S.[Sai],
Hu, B.[Bin],
Liu, F.[Fan],
Wu, X.X.[Xiao-Xin],
Ding, W.P.[Wei-Ping],
Zhou, J.[Jun],
IPT-ILR: Image Pyramid Transformer Coupled With Information Loss
Regularization for All-in-One Image Restoration,
CirSysVideo(35), No. 5, May 2025, pp. 4341-4356.
IEEE DOI
2505
Image restoration, Transformers, Degradation, Computational modeling,
Hands, Fans, Context modeling, regularization representation
BibRef
Liu, X.M.[Xian-Ming],
Nie, L.Q.[Li-Qiang],
Learning Dynamic Prompts for All-in-One Image Restoration,
IP(34), 2025, pp. 3997-4010.
IEEE DOI Code:
WWW Link.
2507
Degradation, Image restoration, Prototypes, Adaptation models,
Computational modeling, Atmospheric modeling, Training, image denoising
BibRef
Tang, X.L.[Xiao-Le],
Gu, X.[Xiang],
He, X.Y.[Xiao-Yi],
Hu, X.[Xin],
Sun, J.[Jian],
Degradation-Aware Residual-Conditioned Optimal Transport for Unified
Image Restoration,
PAMI(47), No. 8, August 2025, pp. 6764-6779.
IEEE DOI
2507
Degradation, Image restoration, Costs, Atmospheric modeling,
Training, Semantics, Distortion measurement,
conditional generative models
BibRef
Nguyen, B.A.[Binh An],
Kha, M.B.[Minh Bao],
Dao, D.M.[Duc Manh],
Nguyen, H.K.[Huu Kien],
Nguyen, M.D.[My Duyen],
Nguyen, T.V.[The Vu],
Rathnayake, N.[Namal],
Hoshino, Y.[Yukinobu],
Dang, T.L.[Tuan Linh],
UFR-GAN: A lightweight multi-degradation image restoration model,
PRL(197), 2025, pp. 282-287.
Elsevier DOI
2510
Lightweight model, Multi-degradation restoration,
Frequency-domain contrastive learning, Near-real-time computer vision
BibRef
Wu, C.[Chen],
Wang, P.[Pu],
Zheng, Z.R.[Zhuo-Ran],
Re-examine all-in-one image restoration: A catastrophic forgetting
perspective,
PRL(197), 2025, pp. 161-167.
Elsevier DOI Code:
WWW Link.
2510
Image restoration, Prompt learning, Unified network
BibRef
Siddiqua, M.[Maria],
Akhter, N.[Naeem],
Zameer, A.[Aneela],
Khurshid, J.[Javaid],
MCCGAN: An All-In-One Image Restoration Under Adverse Conditions Using
Multidomain Contextual Conditional GAN,
IJIG(25), No. 2, March 2025, pp. 2550011.
DOI Link
2504
BibRef
Sun, W.[Wei],
Wang, Q.[Qianzhou],
Wang, Y.Q.[Ya-Qi],
Hou, Z.Q.[Zhi-Qiang],
Yan, Q.[Qingsen],
Zhang, Y.N.[Yan-Ning],
AdaPrompt-IR: Adaptive learning to perceive degradation semantic and
prompting for all-in-one image restoration,
PR(169), 2026, pp. 111875.
Elsevier DOI Code:
WWW Link.
2509
All-in-one image restoration, Degradation representation,
Prompt learning, Dual-branch optimization
BibRef
Xue, M.L.[Ming-Long],
He, J.H.[Jin-Hong],
Palaiahnakote, S.[Shivakumara],
Zhou, M.L.[Ming-Liang],
Unified image restoration and enhancement: Degradation calibrated
cycle reconstruction diffusion model,
PR(171), 2026, pp. 112073.
Elsevier DOI Code:
WWW Link.
2510
Image enhancement, Image restoration, Diffusion model
BibRef
Luo, W.Y.[Wen-Yang],
Qin, H.[Haina],
Chen, Z.[Zewen],
Wang, L.[Libin],
Zheng, D.D.[Dan-Dan],
Li, Y.M.[Yu-Ming],
Liu, Y.F.[Yu-Fan],
Li, B.[Bing],
Hu, W.M.[Wei-Ming],
Visual-Instructed Degradation Diffusion for All-in-One Image
Restoration,
CVPR25(12764-12777)
IEEE DOI
2508
Degradation, Deblurring, Visualization, Computational modeling,
Noise reduction, Semantics, Stability analysis, Image restoration,
Image reconstruction
BibRef
Qin, C.J.[Chu-Jie],
Wu, R.Q.[Rui-Qi],
Liu, Z.[Zikun],
Lin, X.[Xin],
Guo, C.L.[Chun-Le],
Park, H.H.[Hyun Hee],
Li, C.Y.[Chong-Yi],
Restore Anything with Masks: Leveraging Mask Image Modeling for Blind
All-in-one Image Restoration,
ECCV24(XLV: 364-380).
Springer DOI
2412
BibRef
Ai, Y.[Yuang],
Huang, H.B.[Huai-Bo],
Zhou, X.Q.[Xiao-Qiang],
Wang, J.X.[Jie-Xiang],
He, R.[Ran],
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability
and Fidelity for All-in-One Image Restoration,
CVPR24(25432-25444)
IEEE DOI
2410
Degradation, Visualization, Image restoration
BibRef
Zeng, H.M.[Hui-Min],
Li, J.C.[Jia-Cheng],
Zheng, Z.Q.[Zi-Qiang],
Xiong, Z.W.[Zhi-Wei],
All-in-One Image Compression and Restoration,
WACV25(609-619)
IEEE DOI Code:
WWW Link.
2505
Compression dealing with pre-compression degradation.
Degradation, Visualization, Image coding, Codes, Codecs,
Computational modeling, Rate-distortion, Data models,
image restoration
BibRef
Jiang, Y.T.[Yi-Tong],
Zhang, Z.Y.[Zhao-Yang],
Xue, T.F.[Tian-Fan],
Gu, J.[Jinwei],
Autodir: Automatic All-in-one Image Restoration with Latent Diffusion,
ECCV24(XL: 340-359).
Springer DOI
2412
BibRef
Park, D.[Dongwon],
Lee, B.H.[Byung Hyun],
Chun, S.Y.[Se Young],
All-in-One Image Restoration for Unknown Degradations Using Adaptive
Discriminative Filters for Specific Degradations,
CVPR23(5815-5824)
IEEE DOI
2309
BibRef
Shin, W.[Wooksu],
Ahn, N.[Namhyuk],
Moon, J.H.[Jeong-Hyeon],
Sohn, K.A.[Kyung-Ah],
Exploiting Distortion Information for Multi-degraded Image
Restoration,
NTIRE22(536-545)
IEEE DOI
2210
Training, Knowledge engineering, Image recognition, Fuses,
Supervised learning, Distortion, Image restoration
BibRef
Li, B.[Boyun],
Liu, X.[Xiao],
Hu, P.[Peng],
Wu, Z.Q.[Zhong-Qin],
Lv, J.C.[Jian-Cheng],
Peng, X.[Xi],
All-In-One Image Restoration for Unknown Corruption,
CVPR22(17431-17441)
IEEE DOI
2210
Degradation, Photography, Codes, Image restoration,
Low-level vision, Computational photography
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Image Restoration -- General, Survey, Evaluations .