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

Zhang et al., 2020 - Google Patents

An image fusion method based on curvelet transform and guided filter enhancement

Zhang et al., 2020

View PDF @Full View
Document ID
6162653494779377598
Author
Zhang H
Ma X
Tian Y
Publication year
Publication venue
Mathematical Problems in Engineering

External Links

Snippet

In order to improve the clarity of image fusion and solve the problem that the image fusion effect is affected by the illumination and weather of visible light, a fusion method of infrared and visible images for night‐vision context enhancement is proposed. First, a guided filter is …
Continue reading at onlinelibrary.wiley.com (PDF) (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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
    • 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
    • G06T2207/10024—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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • 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
    • 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
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • 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
Zhang et al. An image fusion method based on curvelet transform and guided filter enhancement
Li et al. Structure-revealing low-light image enhancement via robust retinex model
Jiang et al. Image fusion using multiscale edge‐preserving decomposition based on weighted least squares filter
CN113837974B (en) A method for infrared image enhancement of power equipment in NSST domain based on improved BEEPS filtering algorithm
Zhang et al. Infrared and visible image fusion based on intuitionistic fuzzy sets
Wang et al. Multi-focus image fusion based on the improved PCNN and guided filter
Chakraverti et al. De-noising the image using DBST-LCM-CLAHE: A deep learning approach
Bhandari et al. A new beta differential evolution algorithm for edge preserved colored satellite image enhancement
Baohua et al. A multi-focus image fusion algorithm based on an improved dual-channel PCNN in NSCT domain
Nie et al. Pulse coupled neural network based MRI image enhancement using classical visual receptive field for smarter mobile healthcare
Zhou et al. MSAR‐DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution
Wang et al. Adaptive decomposition method for multi‐modal medical image fusion
Chouhan et al. Enhancement of low-contrast images by internal noise-induced Fourier coefficient rooting
Liu et al. Multi-scale saliency measure and orthogonal space for visible and infrared image fusion
Luo et al. Infrared and visible image fusion based on VPDE model and VGG network
Liu et al. Window‐aware guided image filtering via local entropy
Huang et al. Image fuzzy enhancement algorithm based on contourlet transform domain
Yang et al. Optimization algorithm for low‐light image enhancement based on Retinex theory
Zhou et al. Low‐light image enhancement for infrared and visible image fusion
Li et al. AMBCR: Low‐light image enhancement via attention guided multi‐branch construction and Retinex theory
Zhong et al. A fusion approach to infrared and visible images with Gabor filter and sigmoid function
Zhang et al. Medical Image Fusion Based on Low‐Level Features
Shen et al. A novel Gauss-Laplace operator based on multi-scale convolution for dance motion image enhancement.
Zhang et al. A multimodal fusion method for Alzheimer’s disease based on DCT convolutional sparse representation
Pu et al. Perceptually motivated enhancement method for non‐uniformly illuminated images