Results 81 to 90 of about 158,938 (168)

Quantum Boolean image denoising [PDF]

Quantum Information Processing, 2014
A quantum Boolean image processing methodology is presented in this work, with special emphasis in image denoising. A new approach for internal image representation is outlined together with two new interfaces: classical-to-quantum and quantum-to-classical.
openaire   +2 more sources

Statistically based multiwavelet denoising

Journal of Computational and Applied Mathematics, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
PAPI, SERENA, BACCHELLI, SILVIA
openaire   +2 more sources

Motion Capture in Mixed-Reality Applications: A Deep Denoising Approach

Virtual Worlds
Motion capture is a fundamental technique in the development of video games and in film production to animate a virtual character based on the movements of an actor, creating more realistic animations in a short amount of time.
André Correia Gonçalves, Rui Jesus, Pedro Mendes Jorge   +2 more
doaj   +1 more source

Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach

Forecasting
Denoising is an integral part of the data pre-processing pipeline that often works in conjunction with model development for enhancing the quality of data, improving model accuracy, preventing overfitting, and contributing to the overall robustness of ...
C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul, Amrit Kumar Paul   +3 more
doaj   +1 more source

Image Denoising

, 2006
The paper is concerned with the problem of image denoising for the case of grey-scale images. Such images consist of a finite number of regions with smooth boundaries and the image value is assumed piecewise constant within each region. New method of image denoising is proposed which is adaptive (assumption free) to the number of regions and smoothness
Polzehl, Jörg, Spokoiny, Vladimir
openaire   +1 more source

Improving Brain Metabolite Detection with a Combined Low-Rank Approximation and Denoising Diffusion Probabilistic Model Approach

Bioengineering
In vivo proton magnetic resonance spectroscopy (MRS) is a noninvasive technique for monitoring brain metabolites. However, it is challenged by a low signal-to-noise ratio (SNR), often necessitating extended scan times to compensate.
Yeong-Jae Jeon, Kyung Min Nam, Shin-Eui Park, Hyeon-Man Baek   +3 more
doaj   +1 more source

Self-Supervised and Zero-Shot Learning in Multi-Modal Raman Light Sheet Microscopy

Sensors
Advancements in Raman light sheet microscopy have provided a powerful, non-invasive, marker-free method for imaging complex 3D biological structures, such as cell cultures and spheroids.
Pooja Kumari, Johann Kern, Matthias Raedle   +2 more
doaj   +1 more source

Condition Monitoring of Marine Diesel Lubrication System Based on an Optimized Random Singular Value Decomposition Model

Machines
As modern marine diesel engine systems become increasingly complex, effective condition monitoring methods are essential for ensuring optimal performance and preventing anomalies.
Shuxia Ye, Bin Da, Liang Qi, Han Xiao, Shankai Li   +4 more
doaj   +1 more source

« DEBRUITAGE » D'UNE CARTE DE RESISTIVITÉ DES "DERANGEMENTS" DES PHOSPHATES MAROCAINS PAR ONDELETTE ANALYSANTE

Revista EIA
Une campagne de prospection électrique de type Schlumberger a été réalisée sur une zone couvrant une surface 50 ha dans le bassin phosphatier Oulad Abdoun.
Saad Bakkali, Mahacine Amrani
doaj  

Self-Guided Pixel-Wise Calibration for Low-Light Image Enhancement

Applied Sciences
Unsupervised low-light image enhancement methods have gained attention and shown improvement with low data dependence. However, the lack of a ground truth presents challenges, notably in pronounced noise and color bias.
Zhihua Shen, Caiju Wang, Fei Li, Jinshuo Liang, Xiaomao Li, Dong Qu   +5 more
doaj   +1 more source