Nothing Special   »   [go: up one dir, main page]

Baselice et al., 2016 - Google Patents

Enhanced wiener filter for desplecking ultra-sound images

Baselice et al., 2016

Document ID
8385276171633712737
Author
Baselice F
Ferraioli G
Pascazio V
Schirinzi G
Publication year
Publication venue
2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)

External Links

Snippet

In this paper, a new technique for speckle noise reduction in ultra-sound images is presented. The proposed technique adds to the classical Wiener filter the possibility of taking into account, in the restoration process, the spatial correlation between image pixels …
Continue reading at ieeexplore.ieee.org (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
    • G06T2207/20Special algorithmic details
    • G06T2207/20048Transform domain processing
    • G06T2207/20064Wavelet transform [DWT]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10088Magnetic resonance imaging [MRI]
    • 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
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20076Probabilistic image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20212Image combination
    • 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
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20172Image enhancement details
    • G06T2207/20182Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20016Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • 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
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • 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
    • G06T5/007Dynamic range modification
    • G06T5/008Local, e.g. shadow enhancement
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • 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
    • 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
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation

Similar Documents

Publication Publication Date Title
Coupé et al. Nonlocal means-based speckle filtering for ultrasound images
Latif et al. Ultrasound image despeckling and detection of breast cancer using deep CNN
Sagheer et al. Ultrasound image despeckling using low rank matrix approximation approach
Nadeem et al. Fuzzy logic based computational model for speckle noise removal in ultrasound images
Jai Jaganath Babu et al. Non‐subsampled contourlet transform based image Denoising in ultrasound thyroid images using adaptive binary morphological operations
Baselice et al. Enhanced Wiener filter for ultrasound image denoising
Khan et al. Experimental evaluation of filters used for removing speckle noise and enhancing ultrasound image quality
Rahimizadeh et al. An optimized non-local LMMSE approach for speckle noise reduction of medical ultrasound images
Lee et al. Speckle reduction via deep content-aware image prior for precise breast tumor segmentation in an ultrasound image
Singh et al. A homomorphic non-subsampled contourlet transform based ultrasound image despeckling by novel thresholding function and self-organizing map
Yan et al. Frequency division denoising algorithm based on VIF adaptive 2D-VMD ultrasound image
Baselice et al. Enhanced wiener filter for desplecking ultra-sound images
Yeganli et al. Noise removal from MR images via iterative regularization based on higher-order singular value decomposition
Göbl et al. Speckle2speckle: Unsupervised learning of ultrasound speckle filtering without clean data
Baselice et al. Speckle reduction based on wiener filter in ultrasound images
CN103784164A (en) Method and system for processing ultrasonic signals
Torres et al. SAR image despeckling algorithms using stochastic distances and nonlocal means
Rashedi et al. Noise filtering in ultrasound images using Gravitational Search Algorithm
Ambrosanio et al. wksr-nlm: an ultrasound despeckling filter based on patch ratio and statistical similarity
Rajalaxmi et al. Entropy-based straight kernel filter for echocardiography image denoising
Ai et al. Multiresolution generalized N dimension PCA for ultrasound image denoising
Stolojescu-Crisan A hyperanalytic wavelet based denoising technique for ultrasound images
Al-Karawi et al. A model-based adaptive method for speckle noise reduction in ultrasound images of ovarian tumours: a new approach
Basile et al. Blind Approach Using Convolutional Neural Networks to a New Ultrasound Image Denoising Task
Latrach et al. Notice of Violation of IEEE Publication Principles: Denoising techniques for multi-parametric prostate MRI: A Comparative Study