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On The Blind Denoising Efficiency of Image Denoising Algorithms Through Robustness, Image Quality and Computational Burden

open access: yesHittite Journal of Science and Engineering, 2023
The main goal of the image denoising is to recover the original image while attaining the structure of the image as much as possible. When the image denoising task is blind, we have no a priori information about the original image.
Kenan Gençol
doaj   +1 more source

Effects of Rare Microbiome Taxa Filtering on Statistical Analysis

open access: yesFrontiers in Microbiology, 2021
Background: The accuracy of microbial community detection in 16S rRNA marker-gene and metagenomic studies suffers from contamination and sequencing errors that lead to either falsely identifying microbial taxa that were not in the sample or ...
Quy Cao   +9 more
doaj   +1 more source

On the use of singular value decomposition for QRS detection and ECG denoising

open access: yesCurrent Directions in Biomedical Engineering, 2022
QRS detection is a pre-processing step to detect the heartbeat in an electrocardiogram (ECG) for subsequent rhythm classification. However, measured ECG waveforms may differ as a result of intrinsic variability or due to artefacts or noise.
Schanze Thomas
doaj   +1 more source

Infrared Image-Enhancement Algorithm for Weak Targets in Complex Backgrounds

open access: yesSensors, 2023
Infrared small-target enhancement in complex contexts is one of the key technologies for infrared search and tracking systems. The effect of enhancement directly determines the reliability of the monitoring equipment.
Yingchao Li   +5 more
doaj   +1 more source

Adaptive Feature Fusion and Kernel-Based Regression Modeling to Improve Blind Image Quality Assessment

open access: yesApplied Sciences, 2023
In the fields of image processing and computer vision, evaluating blind image quality (BIQA) is still a difficult task. In this paper, a unique BIQA framework is presented that integrates feature extraction, feature selection, and regression using a ...
Jihyoung Ryu
doaj   +1 more source

An Integrated Horizon Picking Method for Obtaining the Main and Detailed Reflectors on Sub-Bottom Profiler Sonar Image

open access: yesRemote Sensing, 2021
A sub-bottom profiler (SBP) can capture the sediment interfaces and properties of different types of sediment. Horizon picking from SBP images is one of the most crucial steps in marine sub-bottom sediment interpretation.
Shaobo Li   +3 more
doaj   +1 more source

filtering sinyal menggunakan bandpass filter

open access: yesJ-ICOM - Jurnal Informatika dan Teknologi Komputer, 2021
Multilevel Marketing (MLM) business visualizes a business network into a hierarchical tree consisting of relationships between nodes. In its application, a branch is generated from each node which when visualized becomes a tree with a height that continues to increase and will consume space which will have an impact in terms of less than optimal data ...
Muliadi, Agus, Muttaqin, Khairul
openaire   +3 more sources

Shaping the Global High-Resolution TanDEM-X Digital Elevation Model

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The global digital elevation model (DEM) produced by the TanDEM-X (TerraSAR-X add-on for digital elevation measurements) mission is an interferometric elevation model with unprecedented quality, accuracy, and coverage.
Martin Huber   +6 more
doaj   +1 more source

Application research on active disturbance rejection control algorithm and test of electro-hydraulic steering gear

open access: yesZhongguo Jianchuan Yanjiu, 2022
ObjectivesThe new type of electro-hydraulic steering gear with direct drive volume control is a typical system with large inertia and small damping.
Zongbin CHEN, Jian LIAO, Banghui LIU
doaj   +1 more source

Filtering via Simulation: Auxiliary Particle Filters [PDF]

open access: yesJournal of the American Statistical Association, 1999
This article analyses the recently suggested particle approach to filtering time series. We suggest that the algorithm is not robust to outliers for two reasons: the design of the simulators and the use of the discrete support to represent the sequentially updating prior distribution. Here we tackle the first of these problems.
Michael K Pitt, Neil Shephard
openaire   +5 more sources

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