Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Modified Perona-Malik Equation and Computer Simulation for Image Denoising
View through CrossRef
The edges and textures of a digital image may be destroyed by traditional denoising methods, which is a
difficult problem in image denoising. In this paper, anisotropic diffusion algorithm based on Partial differential equation is
studied. First, image denoising algorithms based on Perona-Malik model are studied. Second, a modified Perona-Malik
model is proposed. In the proposed model, the gradient statistic and edge thresholds are embedded into the Perona-Malik
equation. Finally, the effects of this model and some other models are compared and analyzed. The experimental results
show that the proposed modified Perona-Malik model outperforms the original Perona-Malik model in removing
Gaussian noise, and the edges and textures of the image are well preserved.
Bentham Science Publishers Ltd.
Title: Modified Perona-Malik Equation and Computer Simulation for Image
Denoising
Description:
The edges and textures of a digital image may be destroyed by traditional denoising methods, which is a
difficult problem in image denoising.
In this paper, anisotropic diffusion algorithm based on Partial differential equation is
studied.
First, image denoising algorithms based on Perona-Malik model are studied.
Second, a modified Perona-Malik
model is proposed.
In the proposed model, the gradient statistic and edge thresholds are embedded into the Perona-Malik
equation.
Finally, the effects of this model and some other models are compared and analyzed.
The experimental results
show that the proposed modified Perona-Malik model outperforms the original Perona-Malik model in removing
Gaussian noise, and the edges and textures of the image are well preserved.
Related Results
Filtering Methods for Biomedical Image Denoising
Filtering Methods for Biomedical Image Denoising
In this paper, the filtering method of biomedical image denoising is described comprehensively. Firstly, it introduces the biomedical image denoising, describes the relationship be...
Methods for image denoising using convolutional neural network: a review
Methods for image denoising using convolutional neural network: a review
AbstractImage denoising faces significant challenges, arising from the sources of noise. Specifically, Gaussian, impulse, salt, pepper, and speckle noise are complicated sources of...
Automated Image Denoising Model: Contribution Towards Optimized Internal and External Basis
Automated Image Denoising Model: Contribution Towards Optimized Internal and External Basis
For handling digital images for various applications, image denoising is considered as a fundamental pre-processing step. Diverse image denoising algorithms have been introduced in...
Depth-aware salient object segmentation
Depth-aware salient object segmentation
Object segmentation is an important task which is widely employed in many computer vision applications such as object detection, tracking, recognition, and ret...
Enhancing bone scan image quality: an improved self-supervised denoising approach
Enhancing bone scan image quality: an improved self-supervised denoising approach
Abstract
Objective. Bone scans play an important role in skeletal lesion assessment, but gamma cameras exhibit challenges with low sensitivity and...
Uncertainty in denoising of MRSI using low-rank methods
Uncertainty in denoising of MRSI using low-rank methods
Abstract
Purpose
Low-rank denoising of MRSI data results in an apparent increase in spectral SNR. However, it is not clear if t...
IDENTIFIKASI PEWARNA RHODAMIN B PADA PERONA MATA DENGAN KROMATOGRAFI LAPIS TIPIS
IDENTIFIKASI PEWARNA RHODAMIN B PADA PERONA MATA DENGAN KROMATOGRAFI LAPIS TIPIS
Perona mata adalah kosmetik untuk penggunaan pada kelopak mata yang berisi pigmen warna yang berasal dari bahan alam/anorganik. Hasil survei BPOM yang dilakukan pada tahun 2021 sam...
Automatic Choice of Denoising Parameter in Perona-Malik Model
Automatic Choice of Denoising Parameter in Perona-Malik Model
In this work, we propose a no-reference method for automatic choice of the parameters of Perona-Malik image diffusion algorithm for the problem of image denoising. The idea of the ...