Design of approximate bilateral filters for image denoising on FPGAs
This paper presents the hardware design of fast and low-cost denoising filters suitable to be
exploited in the enabling technologies for Industry 5.0. A novel approximate computing …
exploited in the enabling technologies for Industry 5.0. A novel approximate computing …
Mixed Poisson-Gaussian noise reduction using a time-space fractional differential equations
FG Bahador, P Mokhtary, M Lakestani - Information Sciences, 2023 - Elsevier
Images are frequently corrupted by various sorts of mixed or unrecognized noise, including
mixed Poisson-Gaussian noise, rather than just a single kind of noise. In this work, we …
mixed Poisson-Gaussian noise, rather than just a single kind of noise. In this work, we …
A two-stage filter for high density salt and pepper denoising
Image restoration is an important and interesting problem in the field of image processing
because it improves the quality of input images, which facilitates postprocessing tasks. The …
because it improves the quality of input images, which facilitates postprocessing tasks. The …
An adaptive image inpainting method based on euler's elastica with adaptive parameters estimation and the discrete gradient method
DNH Thanh, VBS Prasath, S Dvoenko - Signal Processing, 2021 - Elsevier
Euler's Elastica is a common approach developed based on minimizing the elastica energy.
It is one of the effective approaches to solve the image inpainting problem. Nevertheless …
It is one of the effective approaches to solve the image inpainting problem. Nevertheless …
PReLU and edge‐aware filter‐based image denoiser using convolutional neural network
Convolutional neural networks (CNNs) based on the discriminative learning model have
been widely used for image denoising. In this study, a feed‐forward denoising CNN …
been widely used for image denoising. In this study, a feed‐forward denoising CNN …
Two-step non-local means method for image denoising
X Zhang - Multidimensional Systems and Signal Processing, 2022 - Springer
Non-local means (NLM) method is a powerful technique in the field of image processing.
The center weight CW (the weight of the pixel to be denoised) plays an important role for the …
The center weight CW (the weight of the pixel to be denoised) plays an important role for the …
An image denoising algorithm based on adaptive clustering and singular value decomposition
P Li, H Wang, X Li, C Zhang - IET Image Processing, 2021 - Wiley Online Library
Self‐similarity, a prior of natural images, has attracted much attention. The attribute means
that low‐rank group matrices can be constructed from similar image patches. For low‐rank …
that low‐rank group matrices can be constructed from similar image patches. For low‐rank …
A novel image denoising approach based on a non-convex constrained PDE: application to ultrasound images
In this paper, we are interested in the mathematical and simulation study of a new non-
convex constrained PDE to remove the mixture of Gaussian–impulse noise densities. The …
convex constrained PDE to remove the mixture of Gaussian–impulse noise densities. The …
Minimization for Signal and Image Recovery
L Huo, W Chen, H Ge, MK Ng - SIAM Journal on Imaging Sciences, 2023 - SIAM
The nonconvex optimization method has attracted increasing attention due to its excellent
ability of promoting sparsity in signal processing, image restoration, and machine learning …
ability of promoting sparsity in signal processing, image restoration, and machine learning …
Image restoration based on transformed total variation and deep image prior
L Huo, W Chen, H Ge - Applied Mathematical Modelling, 2024 - Elsevier
Most supervised learning methods require observation data and ground truth pairs as data
sets to train the network. However, it is difficult and time-consuming to obtain a large number …
sets to train the network. However, it is difficult and time-consuming to obtain a large number …