Image deconvolution is still to be a challenging illposed problem for recovering a clear image from a given blurry image, when the point spread function is known. Although competitive deconvolution methods are numerically impressive and approach theoretical limits, they are becoming more complex, making analysis, and implementation difficult. Furthermore, accurate estimation of the regularizati...

A new deconvolution method for Auger electron spectroscopy is presented. This method is based on a non-linear least squares minimizing routine (Levenberg-Marquardt) and global approximation using splines, solving many of the drawbacks inherent to the Van Cittert and Fourier transform based deconvolution methods. The deconvolution routine can be run on a personal computer. The application of thi...

This paper describes a series of innovations in the problem of deconvolving forward scattered P-to-S conversions. We introduce a theoretical foundation for a recently developed multichannel stacking technique and show that this process is equivalent to a spatial convolution of the incident wavefield with the discretely sampled set of station locations. We then show that deconvolution of the sta...

In frequency-modulation atomic force microscopy the direct observable is the frequency shift of an oscillating cantilever in a force field. This frequency shift is not a direct measure of the actual force, and thus, to obtain the force, deconvolution methods are necessary. Two prominent methods proposed by Sader and Jarvis (Sader-Jarvis method) and Giessibl (matrix method) are investigated with...

In this work, we evaluated three iterative deconvolution algorithms and compared their performance to partial volume (PV) correction based on structural imaging in brain positron emission tomography (PET) using a database of Monte Carlo-simulated images. We limited our interest to quantitative radioligand PET imaging, particularly to (11)C-Raclopride and striatal imaging. The studied deconvolut...

The ultimate resolution of all ultrasonic flaw detection systems is limited by transducer response. Although the system output contains detailed information about the target structure, these details are masked by the system characteristics. Since the output can be described as the convolution of the target response and the impulse response of the system, it shouldin principle be possible to rev...

The infrared spectra of polysaccharides (amylose and cellulose) as well as of their constituent monosaccharides (αand βD-glucose) and the results of their deconvolution are presented. The number of bands separated upon deconvolution in the 1200-920 cm spectral range exceeds the number of visualized absorption maxima in the room temperature spectra by a factor of more than two. It is shown that ...

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)...

This paper presents an original approach for blind deconvolution of a nonlinear communication channel using a criterion based on the secondand fourth-order moments of the input sequence. This approach is a simple extension of kurtosis maximization a method well known in a linear blind identification. We illustrate through a simple example that kurtosis maximization may also be used in a general...