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

Tao et al., 2021 - Google Patents

Spectrum-to-kernel translation for accurate blind image super-resolution

Tao et al., 2021

View PDF
Document ID
548917737337782666
Author
Tao G
Ji X
Wang W
Chen S
Lin C
Cao Y
Lu T
Luo D
Tai Y
Publication year
Publication venue
Advances in neural information processing systems

External Links

Snippet

Abstract Deep-learning based Super-Resolution (SR) methods have exhibited promising performance under non-blind setting where blur kernel is known; however, blur kernels of Low-Resolution (LR) images in different practical applications are usually unknown. It may …
Continue reading at proceedings.neurips.cc (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20048Transform domain processing
    • G06T2207/20056Discrete and fast Fourier transform, [DFT, FFT]
    • 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
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001Image restoration
    • G06T5/002Denoising; Smoothing
    • 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
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001Image restoration
    • G06T5/003Deblurring; Sharpening
    • 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
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • 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
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00Image generation

Similar Documents

Publication Publication Date Title
Tu et al. Maxim: Multi-axis mlp for image processing
Tao et al. Spectrum-to-kernel translation for accurate blind image super-resolution
Huang et al. Unfolding the alternating optimization for blind super resolution
Chang et al. Spatial-adaptive network for single image denoising
Meng et al. High-dimensional dense residual convolutional neural network for light field reconstruction
Zhang et al. Image and video restorations via nonlocal kernel regression
Yeh et al. Image restoration with deep generative models
Yan et al. A unified HDR imaging method with pixel and patch level
Zhan et al. Video deblurring via motion compensation and adaptive information fusion
Yu et al. Split-attention multiframe alignment network for image restoration
Luo et al. AND: Adversarial neural degradation for learning blind image super-resolution
Lee et al. Wide receptive field and channel attention network for jpeg compressed image deblurring
Ren et al. Enhanced latent space blind model for real image denoising via alternative optimization
Cui et al. PSNet: Towards efficient image restoration with self-attention
Han et al. MPDNet: An underwater image deblurring framework with stepwise feature refinement module
Xu et al. HDRFlow: Real-Time HDR Video Reconstruction with Large Motions
Weng et al. MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space
Buades et al. Motion-compensated spatio-temporal filtering for multi-image and multimodal super-resolution
Sonogashira et al. Variational Bayesian approach to multiframe image restoration
Zuo et al. Ogni-dc: Robust depth completion with optimization-guided neural iterations
Schirrmacher et al. Adaptive quantile sparse image (aquasi) prior for inverse imaging problems
Amiri et al. A fast video super resolution for facial image
Ye et al. A sparsity-promoting image decomposition model for depth recovery
Liu et al. CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
KR100843099B1 (en) Apparatus and method for restoring image