Qiang et al., 2024 - Google Patents
Underwater Image Enhancement Based on Multichannel Adaptive CompensationQiang et al., 2024
- Document ID
- 15287303538356034740
- Author
- Qiang H
- Zhong Y
- Zhu Y
- Zhong X
- Xiao Q
- Dian S
- Publication year
- Publication venue
- IEEE Transactions on Instrumentation and Measurement
External Links
Snippet
Due to underwater light absorption and scattering, underwater images often suffer from color distortion and low contrast. However, existing underwater image enhancement methods can only solve the problem of underwater image degradation in a specific scene and do not …
- 230000003044 adaptive effect 0 title abstract description 31
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
- 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
- G06T5/001—Image restoration
- G06T5/002—Denoising; Smoothing
-
- 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
- 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
- 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
-
- 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
- G06T5/001—Image restoration
- G06T5/005—Retouching; Inpainting; Scratch removal
-
- 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
- G06T2207/20212—Image combination
-
- 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
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/009—Global, i.e. based on properties of the image as a whole
-
- 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
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
-
- 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
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- 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
- 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
- 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 |
---|---|---|
Song et al. | Enhancement of underwater images with statistical model of background light and optimization of transmission map | |
Zhou et al. | Underwater image enhancement method via multi-interval subhistogram perspective equalization | |
Zhang et al. | Underwater image enhancement by attenuated color channel correction and detail preserved contrast enhancement | |
Li et al. | An underwater image enhancement benchmark dataset and beyond | |
Zhang et al. | Enhancing underwater image via color correction and bi-interval contrast enhancement | |
Zhu et al. | A novel fast single image dehazing algorithm based on artificial multiexposure image fusion | |
Li et al. | Color correction based on cfa and enhancement based on retinex with dense pixels for underwater images | |
CN113822830B (en) | Multi-exposure image fusion method based on depth perception enhancement | |
Wu et al. | FW-GAN: Underwater image enhancement using generative adversarial network with multi-scale fusion | |
Saleh et al. | Adaptive uncertainty distribution in deep learning for unsupervised underwater image enhancement | |
Zhou et al. | Low-light enhancement method based on a Retinex model for structure preservation | |
Huang et al. | Color correction and restoration based on multi-scale recursive network for underwater optical image | |
Tolie et al. | DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement | |
Sun et al. | Underwater image enhancement with encoding-decoding deep CNN networks | |
Li et al. | Adaptive weighted multiscale retinex for underwater image enhancement | |
Gao et al. | Let you see in haze and sandstorm: Two-in-one low-visibility enhancement network | |
Huang et al. | Underwater image enhancement based on color restoration and dual image wavelet fusion | |
Ke et al. | Single underwater image restoration based on descattering and color correction | |
Wang et al. | Single image haze removal via attention-based transmission estimation and classification fusion network | |
Deluxni et al. | A Scrutiny on Image Enhancement and Restoration Techniques for Underwater Optical Imaging Applications | |
Qiang et al. | Underwater Image Enhancement Based on Multichannel Adaptive Compensation | |
Wang et al. | Low-light image enhancement by deep learning network for improved illumination map | |
Zhao et al. | Enhancing underwater imagery via latent low-rank decomposition and image fusion | |
Xiang et al. | Research on histogram equalization algorithm based on optimized adaptive quadruple segmentation and cropping of underwater image (AQSCHE) | |
Ding et al. | Learning-based underwater image enhancement: An efficient two-stream approach |