[go: up one dir, main page]

Singh et al., 2018 - Google Patents

Dehazing of outdoor images using notch based integral guided filter

Singh et al., 2018

Document ID
8609350058316828573
Author
Singh D
Kumar V
Publication year
Publication venue
Multimedia Tools and Applications

External Links

Snippet

The dehazing problem is an ill-posed and can be regularized by designing an efficient filter to refine the coarse estimated atmospheric veil. The most of existing dehazing techniques suffer from over-saturation, halo artifacts, and gradient reversal artifacts problems. In this …
Continue reading at link.springer.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
    • 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
    • G06T2207/20—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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • 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
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • 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
    • G06T2207/30—Subject of image; Context of 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
    • G06K9/00624—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
    • G06T7/40—Analysis of texture
    • 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
    • G06T1/00—General purpose image data processing
    • 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
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
    • G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content

Similar Documents

Publication Publication Date Title
Singh et al. Dehazing of outdoor images using notch based integral guided filter
Singh et al. Single image dehazing using gradient channel prior
Lee et al. A review on dark channel prior based image dehazing algorithms
Chen et al. Robust image and video dehazing with visual artifact suppression via gradient residual minimization
Kapoor et al. Fog removal in images using improved dark channel prior and contrast limited adaptive histogram equalization
Jackson et al. A fast single-image dehazing algorithm based on dark channel prior and Rayleigh scattering
Hu et al. Adaptive single image dehazing using joint local-global illumination adjustment
Singh et al. Defogging of road images using gain coefficient-based trilateral filter
Tao et al. Retinex-based image enhancement framework by using region covariance filter
Sabir et al. Segmentation-based image defogging using modified dark channel prior
Mondal et al. Single image haze removal using contrast limited adaptive histogram equalization based multiscale fusion technique
Meng et al. A hybrid algorithm for underwater image restoration based on color correction and image sharpening
Chen et al. Retinex low-light image enhancement network based on attention mechanism
Shi et al. A joint deep neural networks-based method for single nighttime rainy image enhancement
Khmag Image dehazing and defogging based on second-generation wavelets and estimation of transmission map
Baiju et al. An intelligent framework for transmission map estimation in image dehazing using total variation regularized low-rank approximation
Li et al. Laplace dark channel attenuation-based single image defogging in ocean scenes
Ayoub et al. Review of dehazing techniques: challenges and future trends
Cong-Hua et al. Single image dehazing algorithm using wavelet decomposition and fast kernel regression model
Marques et al. Enhancement of low-lighting underwater images using dark channel prior and fast guided filters
Kaplan et al. Single image dehazing based on multiscale product prior and application to vision control
Yadav et al. A new robust scale-aware weighting-based effective edge-preserving gradient domain guided image filter for single image dehazing
Suganya et al. Hybrid gated recurrent unit and convolutional neural network-based deep learning architecture-based visibility improvement scheme for improving fog-degraded images
Fan et al. Image defogging approach based on incident light frequency
Kumari et al. Real time image and video deweathering: The future prospects and possibilities