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Image Restoration for Beautification
Image restoration refers to the recovery from a degraded image to achieve better visual aesthetics. With the advances in imaging and computing, image...
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MWformer: a novel low computational cost image restoration algorithm
The development of the Internet of Things has led to a surge in edge devices. The image detection algorithm, one of the commonly used algorithms in...
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Image enhancement and blur pixel identification with optimization-enabled deep learning for image restoration
Image enhancement is the process of enhancing specific aspects of an image, such as its borders or contrast. The procedure of restoring a destroyed...
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Pyramid Attention Network for Image Restoration
Self-similarity refers to the image prior widely used in image restoration algorithms that small but similar patterns tend to occur at different...
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DICNet: achieve low-light image enhancement with image decomposition, illumination enhancement, and color restoration
Low-light image enhancement (LLIE) is mainly used to restore image degradation caused by environmental noise, lighting effects, and other factors....
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Towards domain adaptation underwater image enhancement and restoration
Currently, deep convolutional neural networks have made significant research progress in the field of underwater image enhancement and restoration....
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USIR-Net: sand-dust image restoration based on unsupervised learning
In sand-dust weather, the influence of sand-dust particles on imaging equipment often results in images with color deviation, blurring, and low...
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Hir-net: a simple and effective heterogeneous image restoration network
Image restoration refers to restoring the original image as much as possible from the damaged or degraded image. In recent years, deep learning-based...
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GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions
Image restoration in adverse weather conditions is a difficult task in computer vision. In this paper, we propose a novel transformer-based framework...
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Monocular Single-Image Scene Restoration
As pointed out in Sect. 7.1 , this chapter introduces the method of scene restoration based on monocular single...
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IMU-CNN: implementing remote sensing image restoration framework based on Mask-Upgraded Cascade R-CNN and deep autoencoder
The effective restoration of degraded remote sensing images is one of the major concerns as it directly affects imaging system performance. In recent...
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A Variational neural network for image restoration based on coupled regularizers
Variational neural networks based on unrolled optimization algorithms for image restoration have received considerable attentions recently because...
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Efficient image restoration with style-guided context cluster and interaction
Recently, convolutional neural networks (CNNs) and vision transformers (ViTs) have emerged as powerful tools for image restoration (IR). Nonetheless,...
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A novel image restoration solution for cross-resolution person re-identification
Cross-resolution person re-identification (CR-ReID) is a highly practical task that primarily addresses the image misalignment issue due to image...
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Image Restoration Using Genetic Algorithms
AbstractVideo shooting conditions are almost never close to ideal. Even under favorable conditions (good lighting, diffused light, etc.), the...
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Two-stage underwater image restoration based on gan and optical model
Due to the unique characteristics of the underwater environment, the underwater images often have the problems of blurring and hazing, which affects...
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Nonlocal Adaptive Biharmonic Regularizer for Image Restoration
In this paper, we propose a nonlocal adaptive biharmonic regularization term for image restoration, combining the advantages of fourth-order models...
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Uformer++: Light Uformer for Image Restoration
Based on UNet, numerous outstanding image restoration models have been developed, and Uformer is no exception. The exceptional restoration...
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Combining residual structure and edge loss for face image restoration with generative adversarial networks
Aiming at the problem of incoherence caused by the color deviation of the edges when splicing with the background after repairing the defective...
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RobustFace: a novel image restoration technique for face adversarial robustness improvement
Machine Learning (ML) models, particularly Deep Learning (DL), have made rapid progress and achieved significant milestones across various...
