[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Hu et al., 2023 - Google Patents

A multi-stage underwater image aesthetic enhancement algorithm based on a generative adversarial network

Hu et al., 2023

Document ID
16945552711306727664
Author
Hu K
Weng C
Shen C
Wang T
Weng L
Xia M
Publication year
Publication venue
Engineering Applications of Artificial Intelligence

External Links

Snippet

Existing underwater image enhancement algorithms rely on paired datasets, which enhance underwater images by learning the mapping relationship between low-quality and high- quality data. However, currently, high-quality data (which are called real data) are artificially …
Continue reading at www.sciencedirect.com (other versions)

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
    • 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
    • G06K9/36—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
    • 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
    • G06T2207/10—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
    • G06T2207/20112—Image segmentation 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
    • G06K9/00221—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
    • 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
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • 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
    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models

Similar Documents

Publication Publication Date Title
Hu et al. A multi-stage underwater image aesthetic enhancement algorithm based on a generative adversarial network
CN108986050B (en) Image and video enhancement method based on multi-branch convolutional neural network
Song et al. Enhancement of underwater images with statistical model of background light and optimization of transmission map
CN110363716B (en) High-quality reconstruction method for generating confrontation network composite degraded image based on conditions
Zhao et al. Dd-cyclegan: Unpaired image dehazing via double-discriminator cycle-consistent generative adversarial network
Lyu et al. An efficient learning-based method for underwater image enhancement
Panetta et al. Tmo-net: A parameter-free tone mapping operator using generative adversarial network, and performance benchmarking on large scale hdr dataset
Han et al. UIEGAN: Adversarial learning-based photorealistic image enhancement for intelligent underwater environment perception
CN116682120A (en) Multilingual Mosaic Image Text Recognition Method Based on Deep Learning
CN116664462A (en) Infrared and visible light image fusion method based on MS-DSC and I_CBAM
Yuan et al. Single image dehazing via NIN-DehazeNet
Wang et al. Single underwater image enhancement using an analysis-synthesis network
Zhou et al. Domain adaptive adversarial learning based on physics model feedback for underwater image enhancement
CN117078505A (en) Image cartoon method based on structural line extraction
Zheng et al. Overwater image dehazing via cycle-consistent generative adversarial network
Li et al. Delving deeper into image dehazing: A survey
Zhong et al. SCAUIE-Net: underwater image enhancement method based on spatial and channel attention
Yi et al. Diff-Retinex++: Retinex-Driven Reinforced Diffusion Model for Low-Light Image Enhancement
CN119090747A (en) An adaptive underwater image enhancement algorithm
Li et al. Single Image Dehazing Using Fuzzy Region Segmentation and Haze Density Decomposition
Jia et al. An unsupervised underwater image enhancement method based on generative adversarial networks with edge extraction
Xu et al. Attention‐based multi‐channel feature fusion enhancement network to process low‐light images
Lan et al. Multi-scale cross-layer feature interaction GAN for underwater image enhancement
CN115272140B (en) Infrared image quantization and enhancement method, system and storage medium
Sun et al. Ghost-UNet: Lightweight model for underwater image enhancement