Wei et al., 2013 - Google Patents
Contrast-guided image interpolationWei et al., 2013
- Document ID
- 6716445215922492657
- Author
- Wei Z
- Ma K
- Publication year
- Publication venue
- IEEE Transactions on image processing
External Links
Snippet
In this paper a contrast-guided image interpolation method is proposed that incorporates contrast information into the image interpolation process. Given the image under interpolation, four binary contrast-guided decision maps (CDMs) are generated and used to …
- 238000001914 filtration 0 abstract description 38
Classifications
-
- 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
- G06T2207/20048—Transform domain processing
- G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
-
- 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
- G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
-
- 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
- G06T3/403—Edge-driven scaling
-
- 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
- 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
- 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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- 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
- G06T2207/30108—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- 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
- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
- G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
-
- 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
- G06T2200/00—Indexing scheme for image data processing or generation, in general
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Wei et al. | Contrast-guided image interpolation | |
Zhang et al. | Single-image super-resolution based on rational fractal interpolation | |
US8917948B2 (en) | High-quality denoising of an image sequence | |
Delbracio et al. | Hand-held video deblurring via efficient fourier aggregation | |
Sun et al. | Gradient profile prior and its applications in image super-resolution and enhancement | |
Takeda et al. | Super-resolution without explicit subpixel motion estimation | |
Su et al. | Neighborhood issue in single-frame image super-resolution | |
CN105844630A (en) | Binocular visual image super-resolution fusion de-noising method | |
CN106934806B (en) | It is a kind of based on text structure without with reference to figure fuzzy region dividing method out of focus | |
CN101976435A (en) | Combination learning super-resolution method based on dual constraint | |
CN101911113A (en) | Re-sizing image sequences | |
CN113012061A (en) | Noise reduction processing method and device and electronic equipment | |
Zhang et al. | Image denoising and zooming under the linear minimum mean square-error estimation framework | |
Karam et al. | An efficient selective perceptual-based super-resolution estimator | |
Jahnavi et al. | A comparative study of super-resolution interpolation techniques: Insights for selecting the most appropriate method | |
Shao et al. | Edge-and-corner preserving regularization for image interpolation and reconstruction | |
Wu et al. | High-resolution images based on directional fusion of gradient | |
Li et al. | Guided iterative back-projection scheme for single-image super-resolution | |
Argyriou | Sub-hexagonal phase correlation for motion estimation | |
Ning et al. | Adaptive image rational upscaling with local structure as constraints | |
Punnappurath et al. | Multi-image blind super-resolution of 3D scenes | |
Getreuer | Image zooming with contour stencils | |
Paul et al. | MR image enhancement using an extended neighborhood filter | |
Ousguine et al. | A new image interpolation using laplacian operator | |
Hu et al. | Noise-robust video super-resolution using an adaptive spatial-temporal filter |