A new hybrid denoising model based on PDEs
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4858-8
Abstract: In this paper, a novel denoising algorithm based on the denoising methods of partial differential equations is presented. The proposed algorithm is obtained by using a stochastic algorithm for combining two denoising methods based on… read more here.
Keywords: image; denoising methods; new hybrid; hybrid denoising ... See more keywords
An adaptive VPDE image denoising model based on structure tensor
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07912-7
Abstract: Image denoising is one of the challenging topics in image processing. Since the formation mechanism of the degraded image is unknown, it is difficult to achieve effective image denoising. Most existing denoising methods are easy… read more here.
Keywords: structure tensor; image; denoising model; image denoising ... See more keywords
A Novel Denoising Model of Underwater Drilling and Blasting Vibration Signal Based on CEEMDAN
Sign Up to like & getrecommendations! Published in 2021 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-020-05274-z
Abstract: In underwater drilling and blasting engineering, the blasting vibration signal is mixed with a mass of noises due to the complexity of monitoring environment, the error of monitoring sensors and the reflection of propagation medium.… read more here.
Keywords: drilling blasting; model; denoising model; vibration signal ... See more keywords
A denoising model based on multi-agent reinforcement learning with data transformation for digital tomosynthesis.
Sign Up to like & getrecommendations! Published in 2023 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/acd615
Abstract: OBJECTIVE Denoising models based on the supervised learning have been proposed for medical imaging. However, its clinical availability in digital tomosynthesis (DT) imaging is limited due to the necessity of a large amount of training… read more here.
Keywords: denoising model; network; based multi; model ... See more keywords