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

Zhu et al., 2019 - Google Patents

Multi-frame image super-resolution reconstruction via low-rank fusion combined with sparse coding

Zhu et al., 2019

Document ID
9717985341521009246
Author
Zhu X
Jin P
Wang X
Ai N
Publication year
Publication venue
Multimedia Tools and Applications

External Links

Snippet

The sparse coding method has been successfully applied to multi-frame super-resolution in recent years. In this paper, we propose a new multi-frame super-resolution framework which combines low-rank fusion with sparse coding to improve the performance of multi-frame …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/40Scaling the whole image or part thereof
    • G06T3/4084Transform-based scaling, e.g. FFT domain scaling
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/40Scaling the whole image or part thereof
    • G06T3/4053Super resolution, i.e. output image resolution higher than sensor resolution
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0068Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for image registration, e.g. elastic snapping
    • G06T3/0081Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for image registration, e.g. elastic snapping by elastic snapping
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20016Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • 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
    • 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
    • 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
    • G06T5/006Geometric correction
    • 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
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • 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
    • G06T7/00Image analysis
    • 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
    • G06T9/00Image coding, e.g. from bit-mapped to non bit-mapped
    • G06T9/001Model-based coding, e.g. wire frame

Similar Documents

Publication Publication Date Title
Zhang et al. Image super-resolution based on structure-modulated sparse representation
US8989519B2 (en) Super resolution from a single signal
Kato et al. Multi-frame image super resolution based on sparse coding
Ma et al. Sparse representation and position prior based face hallucination upon classified over-complete dictionaries
Wang et al. Fast single image super-resolution using sparse Gaussian process regression
Zhu et al. Multi-frame image super-resolution reconstruction via low-rank fusion combined with sparse coding
Zhu et al. Image Super‐Resolution Based on Sparse Representation via Direction and Edge Dictionaries
Mikaeli et al. Single-image super-resolution via patch-based and group-based local smoothness modeling
Tang et al. Deep residual networks with a fully connected reconstruction layer for single image super-resolution
Zhang et al. Video super-resolution with 3D adaptive normalized convolution
Song et al. Gradual deep residual network for super-resolution
Sahito et al. Transpose convolution based model for super-resolution image reconstruction
Chen et al. Video super-resolution network using detail component extraction and optical flow enhancement algorithm
Yang et al. Fast multisensor infrared image super-resolution scheme with multiple regression models
Wu et al. High resolution similarity directed adjusted anchored neighborhood regression for single image super-resolution
Huangpeng et al. Super-resolving blurry multiframe images through multiframe blind deblurring using ADMM
Yang et al. Structural similarity regularized and sparse coding based super-resolution for medical images
Du Single image super-resolution using global enhanced upscale network
Chen et al. Integrating the missing information estimation into multi-frame super-resolution
Tong et al. Lightweight refined networks for single image super-resolution
Li et al. Attentive frequency learning network for super-resolution
Xie et al. Bidirectionally aligned sparse representation for single image super-resolution
Wu et al. Wavelet Domain Multidictionary Learning for Single Image Super‐Resolution
Xu et al. Single‐Image Super‐Resolution Using Panchromatic Gradient Prior and Variational Model
Li et al. Super resolution of single depth image based on multi-dictionary learning with edge feature regularization