NDLI: Deep CNN for removal of salt and pepper noise

Content Provider	IET Digital Library
Author	Xing, Yan Xu, Jian Tan, Jieqing Li, Daolun Zha, Wenshu
Abstract	Image denoising is a common problem during image processing. Salt and pepper noise may contaminate an image by randomly converting some pixel values into 255 or 0. The traditional image denoising algorithm is based on filter design or interpolation algorithm. There exists no work using the convolutional neural network (CNN) to directly remove salt and pepper noise to the authors’ knowledge. In this study, they utilise CNN with the multi-layer structure for the removal of salt and pepper noise, which contains padding, batch normalisation and rectified linear unit. In training, they divide images into three parts: training set, validation set and test set. Experimental results demonstrate that the architecture can effectively remove salt and pepper noise for the various noisy images. In addition, their model can remove high-density noise well due to the extensive local receptive fields of the deep neural networks. Finally, extensive experimental results show that their denoiser is effective for those images with a large number of interference pixels which may cause misjudgement. In a word, they generalise the application of CNN to salt and pepper noise removal and obtain competitive results.
Starting Page	1550
Ending Page	1560
Page Count	11
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 9, Jul (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6004
Journal	IET Image Processing
Publisher Date	2019-05-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Batch Normalisation Computer Vision And Image Processing Technique Convolutional Neural Nets Deep CNN Deep Convolutional Neural Network Image Denoising Image Processing Image Resolution Multilayer Structure Neural Computing Technique Optical, Image And Video Signal Processing Padding Pixel Value Rectified Linear Unit Salt And Pepper Noise Removal Test Set Traditional Image Denoising Algorithm Training Set Validation Set
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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