Salazar Colores et al., 2019 - Google Patents

Statistical multidirectional line dark channel for single‐image dehazing

Salazar Colores et al., 2019

View PDF @Full View
Document ID
15480735538315071946
Author
Salazar Colores S
Moya‐Sánchez E
Ramos‐Arreguín J
Cabal‐Yépez E
Publication year
Publication venue
IET Image Processing

External Links

Snippet

Outdoor scenes often contain atmospheric degradation, such as fog or haze, which deteriorate the performance of tracking, autonomous driving and surveillance systems, among others, making dehazing methods an area of considerable interest. However, some …
Continue reading at ietresearch.onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • 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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
    • 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
    • G06T2207/20112—Image segmentation details
    • 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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • 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
    • 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
    • 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
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • 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
    • 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
    • G06K9/20—Image acquisition
    • 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

Similar Documents

Publication Publication Date Title
Shin et al. Radiance–reflectance combined optimization and structure-guided $\ell _0 $-Norm for single image dehazing
Xu et al. Review of video and image defogging algorithms and related studies on image restoration and enhancement
Kim et al. Effective image enhancement techniques for fog‐affected indoor and outdoor images
Yu et al. Real‐time single image dehazing using block‐to‐pixel interpolation and adaptive dark channel prior
Dharejo et al. A remote‐sensing image enhancement algorithm based on patch‐wise dark channel prior and histogram equalisation with colour correction
Jang et al. Colour image dehazing using near‐infrared fusion
Cui et al. Single image dehazing by latent region‐segmentation based transmission estimation and weighted L1‐norm regularisation
Xiao et al. Scene‐aware image dehazing based on sky‐segmented dark channel prior
Shit et al. An encoder‐decoder based CNN architecture using end to end dehaze and detection network for proper image visualization and detection
Liu et al. Scene‐adaptive single image dehazing via opening dark channel model
Zhang et al. Single image dehazing based on bright channel prior model and saliency analysis strategy
Qiu et al. Perception-oriented UAV image dehazing based on super-pixel scene prior
Kansal et al. New adaptive histogram equalisation heuristic approach for contrast enhancement
Gao et al. Single image dehazing using local linear fusion
Jha et al. l2‐norm‐based prior for haze‐removal from single image
Yousaf et al. Single Image Dehazing and Edge Preservation Based on the Dark Channel Probability‐Weighted Moments
Chen et al. Attentive generative adversarial network for removing thin cloud from a single remote sensing image
Liu et al. Two‐stage image smoothing based on edge‐patch histogram equalisation and patch decomposition
Zhao et al. Haze removal for unmanned aerial vehicle aerial video based on spatial‐temporal coherence optimisation
Fengping et al. Road extraction using modified dark channel prior and neighborhood FCM in foggy aerial images
Huo et al. Single image‐based HDR image generation with camera response function estimation
Salazar Colores et al. Statistical multidirectional line dark channel for single‐image dehazing
Kumari et al. An effective and robust single-image dehazing method based on gamma correction and adaptive Gaussian notch filtering: A. Kumari, SK Sahoo
Baiju et al. An intelligent framework for transmission map estimation in image dehazing using total variation regularized low-rank approximation
Satrasupalli et al. End to end system for hazy image classification and reconstruction based on mean channel prior using deep learning network