NDLI: Blind deblurring and denoising via a learning deep CNN denoiser prior and an adaptive L 0-regularised gradient prior for passive millimetre-wave images

Content Provider	IET Digital Library
Author	Sun, Dianjun Shi, Yu Feng, Yayuan
Abstract	Passive millimetre-wave (PMMW) imaging frequently suffers from blurring and low resolution due to the long wavelengths. In addition, the observed images are inevitably disturbed by noise. Traditional image deblurring methods are sensitive to image noise, even a small amount of which will greatly reduce the quality of the point spread function (PSF) estimation. In this paper, we propose a blind deblurring and denoising method via a learning deep denoising convolutional neural networks (DnCNN) denoiser prior and an adaptive -regularized gradient prior for passive millimetre-wave images. First, a blind deblurring restoration model based on the DnCNN denoising prior constraint is established. Second, an adaptive -regularized gradient prior is incorporated into the model to estimate the latent clear image, and the PSF is estimated in the gradient domain. In a multi-scale framework, alternate iterative denoising and deblurring are used to obtain the final PSF estimation and noise estimation. Ultimately, the final clear image is restored by non-blind deconvolution. The experimental results show that the algorithm used in this paper not only has good detail recovery ability but is also more stable to different noise levels. The proposed method is superior to state-of-the-art methods in terms of both subjective measure and visual quality.
Starting Page	4774
Ending Page	4784
Page Count	11
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 17, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2020.1193
Journal	IET Image Processing
Publisher	The Institution of Engineering and Technology
Publisher Date	2020-12-04
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Alternate Iterative Denoising Biased PSF Estimation Blind Deblurring Restoration Model Blurred Noise Image Blurring Resolution Computer Vision And Image Processing Technique Convolutional Neural Nets Deconvolution Deep Denoising Convolutional Neural Network Denoiser Denoising Method Denoising Network DnCNN Denoising Prior Constraint Estimated PSF Final Clear Image Final PSF Estimation Gradient Domain Image Denoising Image Noise Image Restoration Infrared Imaging Interpolation And Function Approximation Iterative Method L0-regularised Gradient Latent Clear Image Latent Image Learning Deep CNN Denoiser Learning in AI Microwave Measurement Technique Millimetre Wave Imaging Noise Map Nonblind Deconvolution Method Numerical Analysis Observed Image Optical Imaging Optical Transfer Function Optical, Image And Video Signal Processing Passive Millimetre-wave Image PMMW Image Point Spread Function Estimation Traditional Image Deblurring Method Traditional Image Denoising Method
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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