Chen et al., 2021 - Google Patents
The improved image inpainting algorithm via encoder and similarity constraintChen et al., 2021
- Document ID
- 4081682209849156601
- Author
- Chen Y
- Liu L
- Tao J
- Xia R
- Zhang Q
- Yang K
- Xiong J
- Chen X
- Publication year
- Publication venue
- The Visual Computer
External Links
Snippet
Existing image inpainting algorithms based on neural network models are affected by structural distortions and blurred textures on visible connectivity. As a result, overfitting and overlearning phenomena can easily emerge during the image inpainting procedure. Image …
- 238000004422 calculation algorithm 0 title abstract description 21
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20064—Wavelet transform [DWT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
- G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/008—Local, e.g. shadow enhancement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding, e.g. from bit-mapped to non bit-mapped
- G06T9/001—Model-based coding, e.g. wire frame
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Chen et al. | The improved image inpainting algorithm via encoder and similarity constraint | |
Ye et al. | Perceiving and modeling density for image dehazing | |
Li et al. | Survey of single image super‐resolution reconstruction | |
Zhang et al. | Remote sensing image super-resolution via mixed high-order attention network | |
Fan et al. | Unified implicit neural stylization | |
Chen et al. | Single-image super-resolution algorithm based on structural self-similarity and deformation block features | |
Fang et al. | Face completion with hybrid dilated convolution | |
Guo et al. | MDFN: Mask deep fusion network for visible and infrared image fusion without reference ground-truth | |
Liu et al. | WSDS-GAN: A weak-strong dual supervised learning method for underwater image enhancement | |
Zhao et al. | A deep cascade of neural networks for image inpainting, deblurring and denoising | |
Wali et al. | Recent progress in digital image restoration techniques: A review | |
Huang et al. | Hybrid image enhancement with progressive laplacian enhancing unit | |
CN116452930A (en) | Multispectral image fusion method and multispectral image fusion system based on frequency domain enhancement in degradation environment | |
Gao | A method for face image inpainting based on generative adversarial networks | |
Chen et al. | Robust face super-resolution via position relation model based on global face context | |
Hu et al. | Hierarchical discrepancy learning for image restoration quality assessment | |
CN112686830A (en) | Super-resolution method of single depth map based on image decomposition | |
Li et al. | A review of advances in image inpainting research | |
Alonso-Fernandez et al. | Super-resolution for selfie biometrics: Introduction and application to face and iris | |
Han | Texture image compression algorithm based on self‐organizing neural network | |
Xu et al. | Swin transformer and ResNet based deep networks for low-light image enhancement | |
CN116958451B (en) | Model processing, image generating method, image generating device, computer device and storage medium | |
Ji et al. | CFENet: Cost-effective underwater image enhancement network via cascaded feature extraction | |
Liu et al. | Multi-level wavelet network based on CNN-Transformer hybrid attention for single image deraining | |
Yang et al. | Single image super-resolution via a ternary attention network |