Results 21 to 30 of about 25,670 (189)

Phase and TV Based Convex Sets for Blind Deconvolution of Microscopic Images [PDF]

, 2015
In this article, two closed and convex sets for blind deconvolution problem are proposed. Most blurring functions in microscopy are symmetric with respect to the origin.
Cetin, A. Enis, Tofighi, Mohammad, Yorulmaz, Onur   +2 more
core   +1 more source

Semi-blind Sparse Image Reconstruction with Application to MRFM [PDF]

, 2012
We propose a solution to the image deconvolution problem where the convolution kernel or point spread function (PSF) is assumed to be only partially known.
Dobigeon, Nicolas, Hero, Alfred O., Park, Se Un   +2 more
core   +4 more sources

New Lagrange Multipliers for the Blind Adaptive Deconvolution Problem Applicable for the Noisy Case

Entropy, 2016
Recently, a new blind adaptive deconvolution algorithm was proposed based on a new closed-form approximated expression for the conditional expectation (the expectation of the source input given the equalized or deconvolutional output) where the output ...
Monika Pinchas
doaj   +1 more source

Blind deconvolution of sparse pulse sequences under a minimum distance constraint: a partially collapsed Gibbs sampler method [PDF]

, 2012
For blind deconvolution of an unknown sparse sequence convolved with an unknown pulse, a powerful Bayesian method employs the Gibbs sampler in combination with a Bernoulli–Gaussian prior modeling sparsity.
Dobigeon, Nicolas, Hlawatsch, Franz, Kail, Georg, Tourneret, Jean-Yves   +3 more
core   +3 more sources

Source Quantitative Identification by Reference-Based Cubic Blind Deconvolution Algorithm

Chinese Journal of Mechanical Engineering, 2023
The semi-blind deconvolution algorithm improves the separation accuracy by introducing reference information. However, the separation performance depends largely on the construction of reference signals.
Xin Luo, Zhousuo Zhang, Teng Gong, Yongjie Li   +3 more
doaj   +1 more source

The Residual ISI for Which the Convolutional Noise Probability Density Function Associated with the Blind Adaptive Deconvolution Problem Turns Approximately Gaussian

Entropy, 2022
In a blind adaptive deconvolution problem, the convolutional noise observed at the output of the deconvolution process, in addition to the required source signal, is—according to the literature—assumed to be a Gaussian process when the deconvolution ...
Monika Pinchas
doaj   +1 more source

Restoration of Out-of-Focus Fluorescence Microscopy Images Using Learning-Based Depth-Variant Deconvolution

IEEE Photonics Journal, 2020
Image quality is degraded in the out-of-focus region because of the depth-variant (DV) point spread function (DV-PSF) of a fluorescence microscope. Either non-blind or blind deconvolution for restoration results in limited improvement.
Da He, De Cai, Jiasheng Zhou, Jiajia Luo, Sung-Liang Chen   +4 more
doaj   +1 more source

Linear Reconstruction Methods for Large Thick Aperture Imaging

MATEC Web of Conferences, 2018
Large thick aperture imaging method is proposed to measure the radiation intensity distribution of radiation source whose size is several centimetres. The new method contains two steps which are coded imaging and image reconstruction.
Yao Zhiming, Duan Baojun, Yan Weipeng, Song Yan, Han Changcai, Ma Jiming, Song Guzhou   +6 more
doaj   +1 more source

Blind Deconvolution Using Convex Programming [PDF]

IEEE Transactions on Information Theory, 2014
40 pages, 8 ...
Ahmed, Ali, Recht, Benjamin, Romberg, Justin   +2 more
openaire   +2 more sources

Blind multiuser deconvolution in fading and dispersive channels [PDF]

, 1995
An adaptive near-far resistant technique for the blind joint multiuser identification and detection in asynchronous CDMA systems is analyzed in fading and dispersive GSM channels.Peer ReviewedPostprint (published ...
Rodríguez Fonollosa, Javier, Rodríguez Fonollosa, José Adrián, Vidal Manzano, José, Zvonar, Z   +3 more
core   +1 more source