Wang et al., 2020 - Google Patents
A bilateral filtering based ringing elimination approach for motion-blurred restoration imageWang et al., 2020
View PDF- Document ID
- 7173517557144247398
- Author
- Wang W
- Wang W
- Yin J
- Publication year
- Publication venue
- Current Optics and Photonics
External Links
Snippet
We describe an approach that uses a bilateral filter to reduce the ringing artifact in motion- blurred restoration image. It takes into account the specific physical structure of the ringing artifact combined with the properties of the human visual system. To properly reduce the …
- 230000002146 bilateral 0 title abstract description 17
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
- G06T2207/20172—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
- 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
- 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
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/008—Local, e.g. shadow enhancement
-
- 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
- G06T5/003—Deblurring; Sharpening
-
- 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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- 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
- G06T2207/10016—Video; Image sequence
-
- 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
- G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
-
- 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
- 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
- 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
-
- 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
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Liu et al. | Estimating generalized gaussian blur kernels for out-of-focus image deblurring | |
Cao et al. | Effective strip noise removal for low-textured infrared images based on 1-D guided filtering | |
Oakley et al. | Correction of simple contrast loss in color images | |
CN108090886B (en) | High dynamic range infrared image display and detail enhancement method | |
CN108805840A (en) | Method, apparatus, terminal and the computer readable storage medium of image denoising | |
Yu et al. | Efficient patch-wise non-uniform deblurring for a single image | |
CN110415193A (en) | The restored method of coal mine low-light (level) blurred picture | |
CN111489319A (en) | Infrared image enhancement method based on multi-scale bilateral filtering and visual saliency | |
Wang et al. | A bilateral filtering based ringing elimination approach for motion-blurred restoration image | |
Chang et al. | Beyond camera motion blur removing: How to handle outliers in deblurring | |
Yang et al. | CSDM: A cross-scale decomposition method for low-light image enhancement | |
JP5662890B2 (en) | Image processing method, image processing apparatus, image processing program, and radiation dose estimation method by image processing | |
Zhang et al. | DarkVision: a benchmark for low-light image/video perception | |
CN110009575B (en) | Infrared image stripe noise suppression method based on sparse representation | |
Liu et al. | Blind quality assessment for tone-mapped images based on local and global features | |
Min et al. | Out-of-focus image deblurring for mobile display vision inspection | |
Jung et al. | Multispectral fusion of rgb and nir images using weighted least squares and convolution neural networks | |
Al Mudhafar et al. | Noise in digital image processing: A review study | |
Wang et al. | Raw infrared image enhancement via an inverted framework based on infrared basic prior | |
van Zwanenberg et al. | A tool for deriving camera spatial frequency response from natural scenes (NS-SFR) | |
Lal et al. | A comparative study on CNN based low-light image enhancement | |
Zaka et al. | Blind image deblurring using laplacian of Gaussian (LoG) based image prior | |
Lee et al. | Multi-image high dynamic range algorithm using a hybrid camera | |
Zhang et al. | Traffic images enhancement based on vanishing point detection and atmospheric scattering model | |
Zhou et al. | Prior-enlightened and motion-robust video deblurring |