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Dense residual transformer for image denoising
C Yao, S **, M Liu, X Ban - Electronics, 2022 - mdpi.com
Image denoising is an important low-level computer vision task, which aims to reconstruct a
noise-free and high-quality image from a noisy image. With the development of deep …
noise-free and high-quality image from a noisy image. With the development of deep …
[HTML][HTML] Fast method based on fuzzy logic for gaussian-impulsive noise reduction in CT medical images
J Arnal, L Súcar - Mathematics, 2022 - mdpi.com
To remove Gaussian-impulsive mixed noise in CT medical images, a parallel filter based on
fuzzy logic is applied. The used methodology is structured in two steps. A method based on …
fuzzy logic is applied. The used methodology is structured in two steps. A method based on …
Efficient learning representation of noise-reduced foam effects with convolutional denoising networks
JH Kim, YB Kim - Plos one, 2022 - journals.plos.org
This study proposes a neural network framework for modeling the foam effects found in
liquid simulation without noise. The position and advection of the foam particles are …
liquid simulation without noise. The position and advection of the foam particles are …
Analyzing the efficacy of the FFT in Image Denoising and DigitalWatermarking
E Fagerström - 2023 - diva-portal.org
The FFT has been a staple in the field of mathematics and computer science for almost 60
years. And yet, it still endures as an efficient algorithm in a multitude of fields. However, as …
years. And yet, it still endures as an efficient algorithm in a multitude of fields. However, as …