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

Nair et al., 2022 - Google Patents

Single Image Dehazing Using Multi-Scale DCP-BCP Fusion

Nair et al., 2022

Document ID
15949072394203698543
Author
Nair S
Menon S
Karlekar M
Prasad M
Rashmi M
Publication year
Publication venue
2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)

External Links

Snippet

Dehazing involves finding the solution to an ill-posed problem. Improvement to the traditional prior based dehazing method has been introduced here. Considering the pivotal role of an accurate transmission map estimate in dehazed image restoration, a fusion based …
Continue reading at ieeexplore.ieee.org (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
    • G06T2207/20Special algorithmic details
    • G06T2207/20172Image enhancement details
    • G06T2207/20182Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation 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
    • G06K9/36Image 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
    • 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
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001Image restoration
    • G06T5/005Retouching; Inpainting; Scratch removal
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/40Analysis of texture
    • 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
    • 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
    • G06T5/20Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
    • 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
    • G06T5/007Dynamic range modification
    • G06T5/008Local, e.g. shadow enhancement
    • 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
    • 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
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00Image coding, e.g. from bit-mapped to non bit-mapped

Similar Documents

Publication Publication Date Title
Zhang et al. Fast haze removal for nighttime image using maximum reflectance prior
Ancuti et al. Night-time dehazing by fusion
Roa'a et al. Generation of high dynamic range for enhancing the panorama environment
Ju et al. BDPK: Bayesian dehazing using prior knowledge
Li et al. Fast region-adaptive defogging and enhancement for outdoor images containing sky
Gu et al. A Low‐Light Image Enhancement Method Based on Image Degradation Model and Pure Pixel Ratio Prior
Gao et al. Single fog image restoration with multi-focus image fusion
Riaz et al. Multiscale image dehazing and restoration: An application for visual surveillance
Chaudhry et al. Multi scale entropy based adaptive fuzzy contrast image enhancement for crowd images
Hong et al. Single image dehazing based on pixel-wise transmission estimation with estimated radiance patches
Unnikrishnan et al. Non-Local Retinex Based Dehazing and Low Light Enhancement of Images.
Pujas et al. Robust colour image segmentation
Nair et al. Single Image Dehazing Using Multi-Scale DCP-BCP Fusion
Yang et al. Color image contrast enhancement by co-occurrence histogram equalization and dark channel prior
Huang et al. An efficient single image enhancement approach using luminance perception transformation
Honnutagi et al. Underwater video enhancement using manta ray foraging lion optimization-based fusion convolutional neural network
Sudhakara et al. Multi-scale fusion for underwater image enhancement using multi-layer perceptron
Gao et al. Single fog image restoration via multi-scale image fusion
He et al. Single image dehazing using non-local total generalized variation
Wang et al. Underwater image enhancement and restoration techniques: A comprehensive review, challenges, and future trends
Dharmalingam et al. Effective dehazing of night‐time images using open dark channel prior and wavelet transform
Wang et al. Underwater image enhancement by maximum-likelihood based adaptive color correction and robust scattering removal
Yang et al. Improved Dark Channel Prior for Image Defogging
Ponomaryov et al. Fuzzy filtering method for color videos corrupted by additive noise
Yu et al. The improved dehazing method fusion-based