[go: up one dir, main page]

Liu et al., 2014 - Google Patents

Algorithm and architecture design of high-quality video upscaling using database-free texture synthesis

Liu et al., 2014

View PDF
Document ID
11625336586933859939
Author
Liu Y
Lin Y
Huang Y
Chien S
Publication year
Publication venue
IEEE Transactions on Circuits and Systems for Video Technology

External Links

Snippet

Because of real-time requirements and low hardware-cost constraints, conventional TV scalers can only employ basic interpolation technique and thus introduces some artifacts that degrade the viewing quality of the output sequences. In this paper, a low-complexity …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • 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
    • 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
    • G06T3/4084—Transform-based scaling, e.g. FFT domain scaling
    • 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
    • G06T3/4007—Interpolation-based scaling, e.g. bilinear interpolation
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • 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
    • G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
    • 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
    • G06T3/0068—Geometric 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
    • 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
    • G06T11/00—2D [Two Dimensional] image generation
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G06T1/20—Processor architectures; Processor configuration, e.g. pipelining

Similar Documents

Publication Publication Date Title
Wu et al. Light field reconstruction using convolutional network on EPI and extended applications
US9600861B2 (en) Single image super-resolution method using transform-invariant directional total variation with S½+L½-norm
Dong et al. Laplacian pyramid dense network for hyperspectral pansharpening
US9087390B2 (en) High-quality upscaling of an image sequence
US8675999B1 (en) Apparatus, system, and method for multi-patch based super-resolution from an image
Liu et al. On Bayesian adaptive video super resolution
Buades et al. Patch-based video denoising with optical flow estimation
Ma et al. Hallucinating face by position-patch
Siu et al. Review of image interpolation and super-resolution
Yang et al. Coupled dictionary training for image super-resolution
Su et al. Spatially adaptive block-based super-resolution
Jian et al. A novel face-hallucination scheme based on singular value decomposition
Dai et al. FreqFormer: Frequency-aware transformer for lightweight image super-resolution
Yang et al. Single image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction
Jeong et al. Multi-frame example-based super-resolution using locally directional self-similarity
Karam et al. An efficient selective perceptual-based super-resolution estimator
Wu et al. Edge curve scaling and smoothing with cubic spline interpolation for image up-scaling
Shen et al. Sparsity model for robust optical flow estimation at motion discontinuities
Chudasama et al. RSRGAN: computationally efficient real-world single image super-resolution using generative adversarial network
Liu et al. Efficient video super-resolution via hierarchical temporal residual networks
Jia et al. Super-resolution with deep adaptive image resampling
Lu et al. Low-rank constrained super-resolution for mixed-resolution multiview video
Liu et al. Algorithm and architecture design of high-quality video upscaling using database-free texture synthesis
Pei et al. Face hallucination via gradient constrained sparse representation
Takeda et al. Locally adaptive kernel regression for space-time super-resolution