Nothing Special   »   [go: up one dir, main page]

Tsagaris et al., 2005 - Google Patents

Fusion of visible and infrared imagery for night color vision

Tsagaris et al., 2005

Document ID
935907981766671219
Author
Tsagaris V
Anastassopoulos V
Publication year
Publication venue
Displays

External Links

Snippet

A combined approach for fusing night-time infrared with visible imagery is presented in this paper. Night color vision is thus accomplished and the final scene has a natural day-time color appearance. Fusion is based either on non-negative matrix factorization or on a …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • 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
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/009—Global, i.e. based on properties of the image as a whole
    • 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
    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • 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
    • 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
    • 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
    • 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
    • G06F17/20—Handling natural language data
    • 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
    • G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/40—Scaling the whole image or part thereof
    • G06T3/4053—Super resolution, i.e. output image resolution higher than sensor resolution
    • G06T3/4061—Super resolution, i.e. output image resolution higher than sensor resolution by injecting details from a different spectral band

Similar Documents

Publication Publication Date Title
Tsagaris et al. Fusion of visible and infrared imagery for night color vision
Zheng et al. Qualitative and quantitative comparisons of multispectral night vision colorization techniques
Tsagaris et al. Multispectral image fusion for improved RGB representation based on perceptual attributes
Rizzi et al. Milano retinex family
Lin An approach to adaptive infrared image enhancement for long-range surveillance
Chu et al. Novel fusion method for SAR and optical images based on non-subsampled shearlet transform
Mouzon et al. Joint CNN and variational model for fully-automatic image colorization
Cepeda-Negrete et al. Dark image enhancement using perceptual color transfer
EP3381012A1 (en) Method and system for generating an output image from a plurality of corresponding input image channels
Toet Colorizing single band intensified nightvision images
Mahmood et al. A treatise to vision enhancement and color fusion techniques in night vision devices
Ding et al. A robust infrared and visible image fusion framework via multi-receptive-field attention and color visual perception
Qian et al. Fast color contrast enhancement method for color night vision
Kumar et al. Dynamic stochastic resonance and image fusion based model for quality enhancement of dark and hazy images
Huang et al. Visual and infrared dual-band false color image fusion method motivated by Land’s experiment
Majumdar et al. Retinex algorithm with reduced halo artifacts
Xu et al. Deep convolutional sparse coding networks for image fusion
Chaki et al. Introduction to image color feature
Yoon et al. Efficient image enhancement using sparse source separation in the Retinex theory
Connah et al. Spectral edge: gradient-preserving spectral mapping for image fusion
Milić et al. Enhancement of image content for observers with colour vision deficiencies
Hickman Colour fusion of RGB and NIR imagery for surveillance applications
Lang et al. Adaptive method for image dynamic range adjustment and detail enhancement
Gaddam et al. Advanced Image Processing Using Histogram Equalization and Android Application Implementation
Elshora Developing a new IHS-based fusion methodology for GeoEye-1 satellite imagery with the ELSHORA fusion technique