Results 161 to 170 of about 323,867 (242)

Blind image deconvolution using space-variant neural network approach

, 2005
A novel space-variant neural network based on an autoregressive moving average process is proposed for blind image deconvolution. An extended cost function motivated by human visual perception is developed simultaneously to identify the blur and to ...
Qureshi, I.M., Hussain, A., Cheema, T.A.
core  

A Compressed-Sensing Based Blind Deconvolution Method for Image Deblurring in Dental Cone-Beam Computed Tomography. [PDF]

J Digit Imaging, 2019
Kim KS, Kang SY, Park CK, Kim GA, Park SY, Cho H, Seo CW, Lee DY, Lim HW, Lee HW, Park JE, Woo TH, Oh JE.   +12 more
europepmc   +1 more source

Accelerated iterative blind deconvolution

, 1998
This thesis considers the problem of restoring an image distorted by a linear spatially-invariant point spread function (PSF) and corrupted by noise.
Biggs, David S.C.
core  

Iterative Blind Deconvolution Algorithm for Deblurring a Single PSP/TSP Image of Rotating Surfaces. [PDF]

Sensors (Basel), 2018
Pandey A, Gregory JW.
europepmc   +1 more source

Cascade of blind deconvolution and array invariant for robust source-range estimation. [PDF]

J Acoust Soc Am, 2017
Song HC, Cho C, Byun G, Kim JS.
europepmc   +1 more source

Blind Deconvolution of Images using Optimal Sparse Representations

, 2008
The relative Newton algorithm, previously proposed for quasi maximum likelihood blind source separation and blind deconvolution of one-dimensional signals is generalized for blind deconvolution of images.
Michael Zibulevsky, Yehoshua Y. Zeevi, Michael M. Bronstein, Alexander M. Bronstein   +3 more
core  

The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder. [PDF]

Sensors (Basel)
Gao Y, Ahmad Z, Kim JM.
europepmc   +1 more source

Blind deconvolution estimation of fluorescence measurements through quadratic programming. [PDF]

J Biomed Opt, 2015
Campos-Delgado DU, Gutierrez-Navarro O, Arce-Santana ER, Skala MC, Walsh AJ, Jo JA.   +5 more
europepmc   +1 more source

Optimal Sparse Representations for Blind Deconvolution of Images

, 2008
The relative Newton algorithm, previously proposed for quasi maximum likelihood blind source separation and blind deconvolution of one-dimensional signals is generalized for blind deconvolution of images.
Michael Zibulevsky, Yehoshua Y. Zeevi, Michael M. Bronstein, Alexander M. Bronstein   +3 more
core  

Improvement of Whole-body Bone Planar Images on a Bone-dedicated Single-photon Emission Computed Tomography Scanner by Blind Deconvolution Algorithm. [PDF]

J Med Phys
Wang Z, Liu H, Cheng L, Lyu Z, Gao L, Jiang N, He Z, Liu Y.   +7 more
europepmc   +1 more source