Výsledky vyhledávání - "image denoising method"

Akademický článek

A Novel Gray Image Denoising Method Using Convolutional Neural Network

Autor: Yizhen Meng, Jun Zhang

Publikováno v: IEEE Access, Vol 10, Pp 49657-49676 (2022)

In order to make the image denoising more effective in high noise level environment, we propose a gray image denoising method using convolutional neural network (ConvNet). By constructing symmetric and dilated convolutional residual network and combi

Externí odkaz: https://doaj.org/article/c40da046dbe8489a96c0fbe7e043d3b2

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Akademický článek

Implementing a non-local means method to CTA data of aortic dissection

Autor: Maya Fitria, Cosmin Adrian Morariu, Josef Pauli, Ramzi Adriman

Publikováno v: Jurnal Teknologi dan Sistem Komputer, Vol 9, Iss 3, Pp 174-179 (2021)

It is necessary to conserve important information, like edges, details, and textures, in CT aortic dissection images, as this helps the radiologist examine and diagnose the disease. Hence, a less noisy image is required to support medical experts in

Externí odkaz: https://doaj.org/article/c50b6ecf11484405b4cb6b78b7260b77

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Akademický článek

SAR image denoising method based on sparse representation

Autor: Hao-Tian Zhou, Liang Chen, Bo Fu, Hao Shi

Publikováno v: The Journal of Engineering (2019)

The coherent nature of radar illumination causes the speckle effect, which gives the synthetic aperture radar (SAR) image its noisy appearance. The probability distribution of speckle noise is multiplicative rather than additive, which makes the inte

Externí odkaz: https://doaj.org/article/18ea9cee5dfe4bbe8ded5dd05d0bc19a

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Akademický článek

Research on the Image Denoising Method Based on Partial Differential Equations

Autor: Xie Xiaolu

Publikováno v: Cybernetics and Information Technologies, Vol 16, Iss 5, Pp 109-118 (2016)

In this paper we propose a new approach for image denoising based on the combination of PM model, isotropic diffusion model, and TV model. To emphasize the superiority of the proposed model, we have used the Structural Similarity Index Measure (SSIM)

Externí odkaz: https://doaj.org/article/9463b764f8c542e2b7b8549a182713ce

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Akademický článek

Analysis and Evaluation Model for Print Mottle using Wavelet Image Denoising Method

Autor: Yongjian Xu, Qiaoping Liang, Qian Wang, Guodong Liu, Lin Li

Publikováno v: BioResources, Vol 11, Iss 4, Pp 9649-9660 (2016)

Print mottle is problematic in the print and paper industry. In this report, a mathematical evaluation model of print mottle was generated after analyzing several methods. The print mottle images can be evaluated by the model based on the theory of w

Externí odkaz: https://doaj.org/article/d4d6b77717db4097b4806bd79292b2c9

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Akademický článek

Image noise reduction based on applying adaptive thresholding onto PDEs methods

Autor: Ali Abdullah Yahya, Jieqing Tan, Benyu Su, Kui Liu, Ali Naser Hadi

Publikováno v: The Journal of Engineering (2017)

In this study the authors present a novel image denoising method based on applying adaptive thresholding on partial differential (PDEs) methods. In the proposed method the authors utilise the adaptive thresholding to blend the total variation filter

Externí odkaz: https://doaj.org/article/e826d5249ea14c1cb139ecd1a087ef15

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