[go: up one dir, main page]

Zeng, 2023 - Google Patents

Gibbs Artifacts Removal with Nonlinearity

Zeng, 2023

View HTML
Document ID
9836640073795470805
Author
Zeng G
Publication year
Publication venue
Journal of biotechnology and its applications

External Links

Snippet

Background: Gibbs artifacts, appearing as oscillations or ringing around sharp edges or boundaries, are frequently encountered in image processing. They arise when the image's frequency components are adjusted, such as in image deblurring and sharpening. Linear …
Continue reading at pmc.ncbi.nlm.nih.gov (HTML) (other versions)

Classifications

    • 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
    • G06T2207/20—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
    • 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
    • G06T5/004—Unsharp masking
    • 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
    • G06T2207/20064—Wavelet transform [DWT]
    • 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
    • G06T5/20—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
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001—Image restoration
    • G06T5/005—Retouching; Inpainting; Scratch removal
    • 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
    • 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
    • G06T2207/10116—X-ray image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • 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
    • 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

Similar Documents

Publication Publication Date Title
Liu et al. Efficient single image dehazing and denoising: An efficient multi-scale correlated wavelet approach
Çalişkan et al. An efficient noisy pixels detection model for CT images using extreme learning machines
JP5352942B2 (en) Image processing method, image processing program, and image processing apparatus
Yu et al. PCANet based nonlocal means method for speckle noise removal in ultrasound images
Goyal et al. A three stage integrated denoising approach for grey scale images
Rajalingam et al. A novel approach for multimodal medical image fusion using hybrid fusion algorithms for disease analysis
EP2026278A1 (en) Method of enhancing the contrast of an image.
HosseinKhani et al. Adaptive real-time removal of impulse noise in medical images
Kollem et al. Image denoising for magnetic resonance imaging medical images using improved generalized cross‐validation based on the diffusivity function
CN109074635A (en) Device and method for the denoising of opposite magnitude image
Thanh et al. Chest X-ray image denoising using Nesterov optimization method with total variation regularization
Hai et al. Dual-domain metal trace inpainting network for metal artifact reduction in baggage CT images
EP3822907B1 (en) Method and apparatus for contrast enhancement
Nayak et al. DMF-Net: a deep multi-level semantic fusion network for high-resolution chest CT and X-ray image de-noising
Dogra et al. Effective image fusion strategies in scientific signal processing disciplines: Application to cancer and carcinoma treatment planning
Zeng Gibbs Artifacts Removal with Nonlinearity
Das et al. Design of RAMF for impulsive noise cancelation from chest X-Ray image
Chetia et al. Quantum image edge extraction algorithm for noisy image
Rama Lakshmi et al. A Review on Image Denoising Algorithms for Various Applications
Koteswara Rao et al. Multimodal Medical Image Fusion Using the MBM-PCNN Model
EP1933273B1 (en) Generating a contrast enhanced image using multiscale analysis
Hariharan et al. Robust learning-based x-ray image denoising—potential pitfalls, their analysis and solutions
Wang et al. Image Denoising Based on an Improved Wavelet Threshold and Total Variation Model
Rela et al. Efficient image enhancement techniques applied on medical imaging-a state-of-the art survey
Sehgal et al. CT Image Denoising Using Bilateral Filter and Method Noise Thresholding in Shearlet Domain