[go: up one dir, main page]

Chen et al., 2023 - Google Patents

IPDNet: A dual convolutional network combined with image prior for single image dehazing

Chen et al., 2023

Document ID
6299745476568282399
Author
Chen Y
Lyu Z
Hou Y
Publication year
Publication venue
Engineering Applications of Artificial Intelligence

External Links

Snippet

Dehazing based on deep learning neural networks (CNNs) has achieved remarkable results. However, the most existing dehazing CNNs perform well only on synthetic images and struggle with realistic hazy images. Moreover, training complex dehazing models is …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00General purpose image data processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00Indexing scheme for image data processing or generation, in general
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Wang et al. Perceptual adversarial networks for image-to-image transformation
Engin et al. Cycle-dehaze: Enhanced cyclegan for single image dehazing
Hou et al. Context-aware image matting for simultaneous foreground and alpha estimation
Wang et al. Cycle-snspgan: Towards real-world image dehazing via cycle spectral normalized soft likelihood estimation patch gan
CN117409192B (en) A data-enhanced infrared small target detection method and device
Anvari et al. Dehaze-GLCGAN: unpaired single image de-hazing via adversarial training
Chen et al. IPDNet: A dual convolutional network combined with image prior for single image dehazing
Dong et al. Semi-supervised domain alignment learning for single image dehazing
Agrawal et al. Dense haze removal by nonlinear transformation
CN107248174A (en) A kind of method for tracking target based on TLD algorithms
CN114022392B (en) Serial Attention Enhanced UNet++ Dehazing Network for Single Image Dehazing
Guo et al. Joint raindrop and haze removal from a single image
Lyu et al. MCPNet: Multi-space color correction and features prior fusion for single-image dehazing in non-homogeneous haze scenarios
CN116935044B (en) Endoscopic polyp segmentation method with multi-scale guidance and multi-level supervision
Li et al. Ruiesr: Realistic underwater image enhancement and super resolution
CN112419185A (en) Precise high-reflection removal method based on light field iteration
CN109977834B (en) Method and device for segmenting human hand and interactive object from depth image
Li et al. Underwater Imaging Formation Model‐Embedded Multiscale Deep Neural Network for Underwater Image Enhancement
Qiu et al. Blind 360-degree image quality assessment via saliency-guided convolution neural network
Manimurugan et al. HLASwin-T-ACoat-Net based underwater object detection
CN111640075A (en) Underwater image occlusion removing method based on generation countermeasure network
Barua et al. Arthdr-net: Perceptually realistic and accurate hdr content creation
Han et al. Improving the performance of the ORB-SLAM3 with low-light image enhancement
Song et al. Artificial Intelligence‐Assisted Fresco Restoration with Multiscale Line Drawing Generation
Yuan et al. RM-IQA: A new no-reference image quality assessment framework based on range mapping method