Industrial x-ray inspection system with improved image characterization using blind deblurring based on compressed-sensing scheme

Application of Blind Deconvolution Based on the New Weighted L1-norm Regularization with Alternating Direction Method of Multipliers in Light Microscopy Images

“…The standard model for image degradation caused by system blur can be mathematically defined as (Kindur & Hatzinakos, 1996;Kim et al, 2017):…”

“…The standard model for image degradation caused by system blur can be mathematically defined as (Kindur & Hatzinakos, 1996; Kim et al, 2017):where g is the acquired (i.e., blurred) image (where a linear shift-invariance in the image domain is assumed), f is the reference (unblurred) image to be reconstructed, ⊗⊗ represents the 2D convolution operator, and psf system denotes the PSF (which represents the degradation rate of the system depending on the imaging device). The accurate prediction of the PSF is challenging because precise image restoration is an ill-posed problem, as indicated in Equation (1).…”

Non-blind deconvolution with an alternating direction method of multipliers (ADMM) after noise reduction in nondestructive testing

“…The objective is to recover an artifact-free image f from the acquired (i.e., blurred and noisy) image I. Mathematically, a linear shift-invariant image degradation model is employed as follows [14,15]:…”

Research and Implementation of Three-Dimensional Spatial Information Characterization and Visualization of Fractures in Deteriorated Sandstone

“…Since Wilhelm Conrad Röntgen discovered X-ray in the Institute of Physics at the University of Würzburg in 1895, it has been widely used in medicine and industry. Many non-destructive detecting techniques based on X-ray have since been developed, including medical X-ray computed tomography (CT) equipment [1][2][3][4][5], angiography equipment [6][7][8][9][10], industrial X-ray CT equipment [11][12][13][14][15], industrial X-ray detectors [16][17][18][19][20] and so on.…”