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
doaj +5 more sources
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
doaj +2 more sources
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
Motion Estimation for Gray Level Videos Using Different Block Matching Algorithms [PDF]
Engineering and Technology Journal, 2021 Motion Estimation (ME) is a very important operation in video coding. In order to reduce complexity of computations involved in ME and to increase quality of this process, many Block Matching Motion Estimation (BMME) Algorithms are proposed.
Tareq Z. Hammood, Matheel E. Abdulmunim
doaj +1 more source
A Novel Stereo Matching Algorithm for Digital Surface Model (DSM) Generation in Water Areas
Remote Sensing, 2020 Image dense matching has become one of the widely used means for DSM generation due to its good performance in both accuracy and efficiency. However, for water areas, the most common ground object, accurate disparity estimation is always a challenge to ...
Wenhuan Yang, Xin Li, Bo Yang, Yu Fu
doaj +1 more source
SAR Image Despeckling Based on Block-Matching and Noise-Referenced Deep Learning Method
Remote Sensing, 2022 The noise2noise-based despeckling method, capable of training the despeckling deep neural network with only noisy synthetic aperture radar (SAR) image, has presented very good performance in recent research.
Chen Wang +3 more
doaj +1 more source