Blood‐contaminated endoscopic image restoration based on residual VQ‐VAE with cascaded structure-Reference-Cited by-同舟云学术

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Blood‐contaminated endoscopic image restoration based on residual VQ‐VAE with cascaded structure

Published:2022-07-17 Issue:13 Volume:16 Page:3669-3683
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Lin Jie¹^ORCID,Pan Yulong²,Dang Yuan¹,Bao Yige³,Zhuo Hui²

Affiliation:

1. School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu Sichuan China

2. Department of Urology The Third People's Hospital of Chengdu/The Affiliated Hospital of Southwest Jiaotong University Chengdu Sichuan China

3. West China Hospital Sichuan University Chengdu Sichuan China

Funder

Sichuan Province Science and Technology Support Program

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12584

Reference29 articles.

1. Lim B. Son S. Kim H. Nah S. Mu Lee K.:Enhanced deep residual networks for single image super‐resolution. In:Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops Honolulu Hawaii pp.136–144(2017)

2. Li B. Peng X. Wang Z. Xu J. Feng D.:An all‐in‐one network for dehazing and beyond. arXiv preprint arXiv:170706543 (2017)

3. Deep learning on image denoising: An overview

4. Rakshit M. Das S.:An improved EMD based ECG denoising method using adaptive switching mean filter. In:2017 4th International Conference on Signal Processing and Integrated Networks (SPIN) Noida India pp.251–255.IEEE(2017)

5. Simple adaptive median filter for the removal of impulse noise from highly corrupted images

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