Blind Poissonian image deblurring regularized by a denoiser constraint and deep image prior

DOI10.1155/2020/9483521zbMath1459.94012OpenAlexW3080537281MaRDI QIDQ2007170

Yayuan Feng, Dianjun Sun, Yu Shi

Publication date: 12 October 2020

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2020/9483521

Mathematics Subject Classification ID

Image analysis in multivariate analysis (62H35) Nonconvex programming, global optimization (90C26) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical methods for inverse problems for integral equations (65R32)

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Restoring severely out-of-focus blurred text images with deep image prior

Uses Software

• DnCNN
• DeepRED

Cites Work

• The Little Engine that Could: Regularization by Denoising (RED)
• Spatially adapted regularization parameter selection based on the local discrepancy function for Poissonian image deblurring
• Motion Blur Kernel Estimation via Deep Learning
• Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
• Restoration of Poissonian Images Using Alternating Direction Optimization
• Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising
• A Closed-Form Approximation of the Exact Unbiased Inverse of the Anscombe Variance-Stabilizing Transformation
• Optimal Inversion of the Generalized Anscombe Transformation for Poisson-Gaussian Noise
• A Review of Image Denoising Algorithms, with a New One
• THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA

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