[HTML][HTML] Analysis and comparison of high-performance computing solvers for minimisation problems in signal processing
S Cammarasana, G Patané - Mathematics and Computers in Simulation, 2025 - Elsevier
Several physics and engineering applications involve the solution of a minimisation problem
to compute an approximation of the input signal. Modern hardware and software use high …
to compute an approximation of the input signal. Modern hardware and software use high …
Generalized Fuzzy Transform and Non-Local Laplace Operator
H Zamecnıkova, S Cammarasana… - … on Fuzzy Systems, 2024 - ieeexplore.ieee.org
The F-transform has proven to be effective in various applications such as time series
analysis, numerical solutions of differential equations, and signal or image processing. The …
analysis, numerical solutions of differential equations, and signal or image processing. The …
An accurate paradigm for denoising degraded ultrasound images based on artificial intelligence systems
FE Al‐Tahhan, ME Fares - Microscopy Research and …, 2024 - Wiley Online Library
Ultrasound images are susceptible to various forms of quality degradation that negatively
impact diagnosis. Common degradations include speckle noise, Gaussian noise, salt and …
impact diagnosis. Common degradations include speckle noise, Gaussian noise, salt and …
Influence of sorting measures on similar segment grouping based denoising algorithms
G Preethisree, V Vivekanand, D Mishra… - Signal, Image and Video …, 2024 - Springer
Denoising is a fundamental problem in digital image processing and computer vision. Many
of the denoising algorithms use segment-based methods. Various methods for nonlocal …
of the denoising algorithms use segment-based methods. Various methods for nonlocal …