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

Vršnak et al., 2022 - Google Patents

Autoencoder-based training for multi-illuminant color constancy

Vršnak et al., 2022

View HTML
Document ID
10779445872062352868
Author
Vršnak D
Domislović I
Subašić M
Lončarić S
Publication year
Publication venue
JOSA A

External Links

Snippet

Color constancy is an essential component of the human visual system. It enables us to discern the color of objects invariant to the illumination that is present. This ability is difficult to reproduce in software, as the underlying problem is ill posed, ie, for each pixel in the …
Continue reading at opg.optica.org (HTML) (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
    • 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
    • G06K9/4652Extraction of features or characteristics of the image related to colour
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30244Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • 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
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • 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
    • 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
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • 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
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS

Similar Documents

Publication Publication Date Title
Cheng et al. Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution
Gao et al. Improving color constancy by discounting the variation of camera spectral sensitivity
Shi et al. Illumination estimation via thin-plate spline interpolation
Liu et al. Semantic-guided polarization image fusion method based on a dual-discriminator GAN
Gao et al. Improving color constancy by selecting suitable set of training images
Cao et al. Hyperspectral image super-resolution based on the transfer of both spectra and multi-level features
Hauser et al. DD-Net: spectral imaging from a monochromatic dispersed and diffused snapshot
Lv et al. Attention-based fusion network for human eye-fixation prediction in 3D images
Baslamisli et al. Invariant descriptors for intrinsic reflectance optimization
Yue et al. Color constancy from a pure color view
Sial et al. Deep intrinsic decomposition trained on surreal scenes yet with realistic light effects
Vršnak et al. Autoencoder-based training for multi-illuminant color constancy
Liang et al. Method for reconstructing a high dynamic range image based on a single-shot filtered low dynamic range image
Fu et al. Towards high-resolution specular highlight detection
Zhang et al. Single image relighting based on illumination field reconstruction
Cao et al. Hyperspectral image super-resolution via spectral matching and correction
Di et al. FDNet: An end-to-end fusion decomposition network for infrared and visible images
Su et al. Illumination separation of non-Lambertian scenes from a single hyperspectral image
Lecca et al. Performance comparison of image enhancers with and without deep learning
Yang et al. Improved single-illumination estimation accuracy via redefining the illuminant-invariant descriptor and the grey pixels
Lee et al. Fast model-based multispectral imaging using nonnegative principal component analysis
Cao et al. Unsupervised spectral reconstruction from RGB images under two lighting conditions
Trongtirakul et al. Adaptive inertia weight particle swarm algorithm for optimized hyperspectral image enhancement
Fan et al. Unified framework based on multiscale transform and feature learning for infrared and visible image fusion
Zhuge et al. Automatic colorization using fully convolutional networks