Zhou et al., 2024 - Google Patents
HCLR-net: Hybrid contrastive learning regularization with locally randomized perturbation for underwater image enhancementZhou et al., 2024
- Document ID
- 9862504916994093631
- Author
- Zhou J
- Sun J
- Li C
- Jiang Q
- Zhou M
- Lam K
- Zhang W
- Fu X
- Publication year
- Publication venue
- International Journal of Computer Vision
External Links
Snippet
Underwater image enhancement presents a significant challenge due to the complex and diverse underwater environments that result in severe degradation phenomena such as light absorption, scattering, and color distortion. More importantly, obtaining paired training data …
- 238000000034 method 0 abstract description 132
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
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- 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
- G06T2207/20172—Image enhancement details
-
- 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
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- 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
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/06—Investment, e.g. financial instruments, portfolio management or fund management
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhou et al. | HCLR-net: Hybrid contrastive learning regularization with locally randomized perturbation for underwater image enhancement | |
Zhou et al. | Multi-view underwater image enhancement method via embedded fusion mechanism | |
Zhao et al. | Pixelated semantic colorization | |
Wu et al. | FW-GAN: Underwater image enhancement using generative adversarial network with multi-scale fusion | |
Zhang et al. | Hierarchical attention aggregation with multi-resolution feature learning for GAN-based underwater image enhancement | |
Ali et al. | LIDN: a novel light invariant image dehazing network | |
Liu et al. | WSDS-GAN: A weak-strong dual supervised learning method for underwater image enhancement | |
Zhou et al. | Domain adaptive adversarial learning based on physics model feedback for underwater image enhancement | |
Zhang et al. | DuGAN: An effective framework for underwater image enhancement | |
Wang et al. | Single underwater image enhancement using an analysis-synthesis network | |
Wang et al. | Underwater image quality optimization: Researches, challenges, and future trends | |
Liu et al. | Underwater optical image enhancement based on super-resolution convolutional neural network and perceptual fusion | |
Chang et al. | Attention-based color consistency underwater image enhancement network | |
Zhang et al. | Dual-path joint correction network for underwater image enhancement | |
Gao et al. | TEGAN: Transformer embedded generative adversarial network for underwater image enhancement | |
Chen et al. | WaterPairs: a paired dataset for underwater image enhancement and underwater object detection | |
Ouyang et al. | A multi-color and multistage collaborative network guided by refined transmission prior for underwater image enhancement | |
Yuan et al. | Deep‐sea image stitching: Using multi‐channel fusion and improved AKAZE | |
Xu et al. | Attention‐based multi‐channel feature fusion enhancement network to process low‐light images | |
Stival et al. | Survey on video colorization: Concepts, methods and applications | |
Gong et al. | Attention-guided network with hierarchical global priors for low-light image enhancement | |
Wu et al. | Two-Stage Progressive Underwater Image Enhancement | |
Li et al. | Two-stage underwater image restoration based on gan and optical model | |
Hu et al. | Texture-aware and color-consistent learning for underwater image enhancement | |
Daud et al. | Underwater image enhancement using lightweight vision transformer |