Typical blur from camera shake often deviates from the standard uniform convolutional assumption, in part because of problematic rotations which create greater blurring away from some unknown center point. Consequently, successful blind deconvolution for removing shake artifacts requires the estimation of a spatiallyvarying or non-uniform blur operator. Using ideas from Bayesian inference and c...

• We compute estimates of inefficiency when its distribution is unknown in Stochastic Frontier Models (SFMs) and Data Envelopment Analysis (DEA). Our procedure based on the Fast Fourier Transform (FFT) utilizes empirical characteristic function. The new techniques perform well Monte Carlo experiments. They deliver reasonable results an application to large U.S. banks. Deconvolution DEA scores w...

This study uses 35 pesticides spiked in spinach extracts at the 50 ppb level to find the optimal AMDIS deconvolution settings. Additional advantages of using deconvolution versus MSD ChemStation, to find more compounds in an extract are also discussed. The detectability of compounds in a complex matrix is significantly improved with deconvolution. This can also be viewed as better or increased ...

Introduction: An accurate assessment of the Tumor Blood Flow (TBF) can become crucial in deciding the best management for breast cancer patients. Earlier studies have demonstrated the feasibility of quantifying blood flow in human breast tumors using prebolus DCE-MRI time courses covering a limited time window at high temporal resolution, combined with deconvolution analysis [1, 2]. Alternative...

Introduction: Dynamic susceptibility contrast (DSC) MR imaging can be used to determine the perfusion state of brain tissue during acute ischemic stroke. Perfusion-weighted imaging (PWI) when combined with diffusion-weighted imaging (DWI) has been proposed as a method for determining the volume of salvageable tissue during initial hours of onset (< 6 h) [1]. Use of the cerebral blood flow (CBF)...

In this work we characterize all ambiguities of the linear (aperiodic) one-dimensional convolution on two fixed finite-dimensional complex vector spaces. It will be shown that the convolution ambiguities can be mapped one-toone to factorization ambiguities in the z−domain, which are generated by swapping the zeros of the input signals. We use this polynomial description to show a deterministic ...

Context. The image degradation produced by atmospheric turbulence and optical aberrations is usually alleviated using post-facto image reconstruction techniques, even when observing with adaptive optics systems. Aims. These techniques rely on the development of the wavefront using Zernike functions and the non-linear optimization of a certain metric. The resulting optimization procedure is comp...