Image denoising via deep network based on edge enhancement

2018 ◽  
Author(s):  
Xi Chen ◽  
Shu Zhan ◽  
Dong Ji ◽  
Liangfeng Xu ◽  
Congzhong Wu ◽  
...  
Keyword(s):  
Image Denoising ◽  
Edge Enhancement ◽  
Deep Network

A novel method of infrared image denoising and edge enhancement

2008 ◽  
Vol 88 (6) ◽  
pp. 1606-1614 ◽  
Author(s):  
Chao Ni ◽  
Qi Li ◽  
Liang Z. Xia
Keyword(s):  
Image Denoising ◽  
Infrared Image ◽  
Edge Enhancement ◽  
Novel Method

scholarly journals Research on an Image Denoising Algorithm based on Deep Network Learning

2021 ◽  
Vol 1802 (3) ◽  
pp. 032112
Author(s):  
Jian Liang ◽  
Pengxu Chen ◽  
Mian Wu
Keyword(s):  
Image Denoising ◽  
Network Learning ◽  
Deep Network

Adaptive image denoising and edge enhancement in scale-space using the wavelet transform

2003 ◽  
Vol 24 (7) ◽  
pp. 965-971 ◽  
Author(s):  
Cláudio Rosito Jung ◽  
Jacob Scharcanski
Keyword(s):  
Wavelet Transform ◽  
Image Denoising ◽  
Scale Space ◽  
Edge Enhancement

A New Enhancement Model Combined Anisotropic Diffusion and Shock Filter

2014 ◽  
Vol 889-890 ◽  
pp. 1089-1092 ◽  
Author(s):  
Jie Zhao ◽  
Yong Mei Qi ◽  
Jian Ying Pei
Keyword(s):  
Diffusion Process ◽  
Image Denoising ◽  
Diffusion Model ◽  
Anisotropic Diffusion ◽  
Edge Enhancement ◽  
Edge Information ◽  
Edge Zone ◽  
Shock Filter ◽  
Novel Model

A novel model which is about the image denoising and enhancement is proposed in this article, the image denoising and enhancement increasingly becomes a bottleneck restricting the follow-up image of a series of processing On the basis of anisotropic diffusion model, an edge stopping function is introduced, which can make up the drawback that solely relies on detecting the gradient information to control the diffusion process .Using the edge stopping function position accurately on the edge so as to achieve the purpose of the noise reduction fully in the non-edge zone, but it inevitably will blur the edge information. Therefore, the further use of the shock filter in the edge enhancement is essential. Experiments show that the model can well remove the image noise and achieve good visual effect.

Joint Image Denoising and Colorization Using Deep Network

2020 ◽  
Author(s):  
Tran Van Khoa ◽  
Dinh Quang Vinh ◽  
Nguyen Hong Phuc ◽  
Debnath C Narayan ◽  
NGUYEN Tuan-Duc ◽  
...  
Keyword(s):  
Image Denoising ◽  
Deep Network

scholarly journals Edge‐Enhancement DenseNet for X‐ray Fluoroscopy Image Denoising in Cardiac Electrophysiology Procedures

2021 ◽  
Author(s):  
Yimin Luo ◽  
YingLiang Ma ◽  
Hugh O’ Brien ◽  
Kui Jiang ◽  
Vikram Kohli ◽  
...  
Keyword(s):  
Image Denoising ◽  
Cardiac Electrophysiology ◽  
Edge Enhancement ◽  
X Ray
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