Despeckling of Ultrasound Images Using Block Matching and SVD in Sparse Representation [PDF]
Sensors, 2022 This work proposes a novel scheme for speckle suppression on medical images acquired by ultrasound sensors. The proposed method is based on the block matching procedure by using mutual information as a similarity measure in grouping patches in a ...
Rogelio Reyes-Reyes +5 more
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An Improved BM3D Algorithm Based on Image Depth Feature Map and Structural Similarity Block-Matching [PDF]
Sensors, 2023 We propose an improved BM3D algorithm for block-matching based on UNet denoising network feature maps and structural similarity (SSIM). In response to the traditional BM3D algorithm that directly performs block-matching on a noisy image, without ...
Jia Cao +4 more
doaj +2 more sources
De-Speckling Breast Cancer Ultrasound Images Using a Rotationally Invariant Block Matching Based Non-Local Means (RIBM-NLM) Method [PDF]
Diagnostics, 2022 The ultrasonic technique is an indispensable imaging modality for diagnosis of breast cancer in young women due to its ability in efficiently capturing the tissue properties, and decreasing nega-tive recognition rate thereby avoiding non-essential ...
Gelan Ayana +4 more
doaj +2 more sources
Three-Dimensional Block Matching Using Orthonormal Tree-Structured Haar Transform for Multichannel Images [PDF]
Journal of Imaging, 2020 Multichannel images, i.e., images of the same object or scene taken in different spectral bands or with different imaging modalities/settings, are common in many applications.
Izumi Ito, Aleksandra Pižurica
doaj +2 more sources
Dual-Attention-Based Block Matching for Dynamic Point Cloud Compression [PDF]
Journal of ImagingThe irregular and highly non-uniform spatial distribution inherent to dynamic three-dimensional (3D) point clouds (DPCs) severely hampers the extraction of reliable temporal context, rendering inter-frame compression a formidable challenge.
Longhua Sun, Yingrui Wang, Qing Zhu
doaj +2 more sources
On Recovery of Block Sparse Signals via Block Compressive Sampling Matching Pursuit
IEEE Access, 2019 Compressive sampling matching pursuit (CoSaMP) is an efficient reconstruction algorithm for sparse signal. When the signal is block sparse, i.e., the non-zero elements are presented in clusters, some block sparse reconstruction algorithms have been ...
Xiaobo Zhang +4 more
doaj +3 more sources
MR Image Reconstruction Using Block Matching and Adaptive Kernel Methods. [PDF]
PLoS ONE, 2016 An approach to Magnetic Resonance (MR) image reconstruction from undersampled data is proposed. Undersampling artifacts are removed using an iterative thresholding algorithm applied to nonlinearly transformed image block arrays.
Johannes F M Schmidt +2 more
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Block Matching Algorithm Using an Adaptive Matching Block for Object Tracking
The Journal of the Korean Institute of Information and Communication Engineering, 2011 In object tracking using the block mating algorithm, it is not proper to use a fixed matching block to track an object of which size may be various and can be changed at any time. This paper defines an adaptive matching block for the dynamic environment and proposes a block matching algorithm for it.
Jeong-Su Oh
exaly +3 more sources
Infrared Single-Frame Small Target Detection Based on Block-Matching [PDF]
Sensors, 2022 Man Y, Yang Q, Chen T.
exaly +2 more sources
Sequential Blocked Matching [PDF]
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 We consider a sequential blocked matching (SBM) model where strategic agents repeatedly report ordinal preferences over a set of services to a central planner. The planner's goal is to elicit agents' true preferences and design a policy that matches services to agents in order to maximize the expected social welfare with the added constraint that each
Nicholas Bishop +3 more
openaire +2 more sources