Pixelwise Estimation of Signal-Dependent Image Noise Using Deep Residual Learning
Joint Authors
Zhang, Maojun
Lai, Shiming
Tan, Hanlin
Xiao, Huaxin
Liu, Yu
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-09-09
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In traditional image denoising, noise level is an important scalar parameter which decides how much the input noisy image should be smoothed.
Existing noise estimation methods often assume that the noise level is constant at every pixel.
However, real-world noise is signal dependent, or the noise level is not constant over the whole image.
In this paper, we attempt to estimate the precise and pixelwise noise level instead of a simple global scalar.
To the best of our knowledge, this is the first work on the problem.
Particularly, we propose a deep convolutional neural network named “deep residual noise estimator” (DRNE) for pixelwise noise-level estimation.
We carefully design the architecture of the DRNE, which consists of a stack of customized residual blocks without any pooling or interpolation operation.
The proposed DRNE formulates the process of noise estimation as pixel-to-pixel prediction.
The experimental results show that the DRNE can achieve better performance on nonhomogeneous noise estimation than state-of-the-art methods.
In addition, the DRNE can bring denoising performance gains in removing signal-dependent Gaussian noise when working with recent deep learning denoising methods.
American Psychological Association (APA)
Tan, Hanlin& Xiao, Huaxin& Lai, Shiming& Liu, Yu& Zhang, Maojun. 2019. Pixelwise Estimation of Signal-Dependent Image Noise Using Deep Residual Learning. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1129474
Modern Language Association (MLA)
Tan, Hanlin…[et al.]. Pixelwise Estimation of Signal-Dependent Image Noise Using Deep Residual Learning. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1129474
American Medical Association (AMA)
Tan, Hanlin& Xiao, Huaxin& Lai, Shiming& Liu, Yu& Zhang, Maojun. Pixelwise Estimation of Signal-Dependent Image Noise Using Deep Residual Learning. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1129474
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129474