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02/09/2019
An Algorithm Unrolling Approach to Deep Blind Image Deblurring
Blind image deblurring remains a topic of enduring interest. Learning ba...
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research
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02/09/2019
An Algorithm Unrolling Approach to Deep Image Deblurring
While neural networks have achieved vastly enhanced performance over tra...
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01/21/2019
Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection
Cell nuclei detection is a challenging research topic because of limitat...
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06/29/2018
Deep Networks with Shape Priors for Nucleus Detection
Detection of cell nuclei in microscopic images is a challenging research...
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12/05/2017
Blind Image Deblurring Using Row-Column Sparse Representations
Blind image deblurring is a particularly challenging inverse problem whe...
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03/16/2015
Phase and TV Based Convex Sets for Blind Deconvolution of Microscopic Images
In this article, two closed and convex sets for blind deconvolution prob...
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06/10/2014
Denosing Using Wavelets and Projections onto the L1-Ball
Both wavelet denoising and denosing methods using the concept of sparsit...
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02/10/2014
Signal Reconstruction Framework Based On Projections Onto Epigraph Set Of A Convex Cost Function (PESC)
A new signal processing framework based on making orthogonal Projections...
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04/24/2012
Robust Head Pose Estimation Using Contourlet Transform
Estimating pose of the head is an important preprocessing step in many p...
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04/13/2012
