We study the production of hadrons in nucleus-nucleus collisions within the Parton-Hadron-String Dynamics (PHSD) transport approach that is extended to incorporate essentials aspects of chiral symmetry restoration (CSR) in the hadronic sector (via the Schwinger mechanism) on top of the deconfinement phase transition as implemented in PHSD. The essential impact of CSR is found in the Schwinger m...

The expectation−maximization (EM) algorithm for maximum likelihood image recovery converges very slowly. Thus, the ordered subsets EM (OS−EM) algorithm has been widely used in image reconstruction for tomography due to an order−of−magnitude acceleration over the EM algorithm [1]. However, OS− EM is not guaranteed to converge. The recently proposed ordered subsets, separable paraboloidal surroga...

The expectation-maximization (EM) algorithm for maximum-likelihood image recovery is guaranteed to converge, but it converges slowly. Its ordered-subset version (OS-EM) is used widely in tomographic image reconstruction because of its order-of-magnitude acceleration compared with the EM algorithm, but it does not guarantee convergence. Recently the ordered-subset, separable-paraboloidal-surroga...

With the effective image processing tools, the digital image processing technique can be applied to the virtual restoration of artistic paintings. For the restoration of artistic work, digital image processing technique serves many purposes. This paper presents approach for virtual digital restoration of artistic paintings which are suffering from the breaks or cracks. An approach includes dete...

The purpose of this paper is to explore techniques for image enhancement and recovery, especially as they relate to reversing or minimizing the effects of noise degradation. The specific goal of the paper is to attempt to recover readable characters from a license plate image. I start with a short background on the importance of enhancement and then cover some of the technical approaches and te...

The field of super-resolution has a wide area of applications. In order to display relatively low-quality content on high-resolution displays, the need for super resolution algorithms has become an urgent market priority. A method of super-resolution based on projectonto-convex-sets (POCS) is proposed in this thesis. In the super-resolution process, a set of low-quality images is given, and a s...

-Inpainting is the process of reconstructing lost or deteriorated part of images based on the background information. i. e .it fills the missing or damaged region in an image utilizing spatial information of its neighboring region. Inpainting algorithm have numerous applications. It is helpfully used for restoration of old films and object removal in digital photographs. The main goal of the al...

This paper introduces a research project, which addresses problems associated with the image restoration process for digitization and archiving of analog video tapes. The goal of this work is the development of a new model of image restoration and its application to real video sequences. This research will focus primarily upon the digital imaging and restoration process chain; its main thrust w...

Image restoration involves elimination of noise. Filtering techniques were adopted so far to restore images since last five decades. In this paper, we consider the problem of image restoration degraded by a blur function and corrupted by random noise. A method for reducing additive noise in images by explicit analysis of local image statistics is introduced and compared to other noise reduction...

Active set methods based on the augmented Lagrangian smoothing of nondiier-entiable optimization problems that arise in image restoration are discussed. One-dimensional image restoration problem and two diierent formulations for two-dimensional image restoration problem are given. Both nonmonotone and monotone active set algorithms are described and nite step convergence of the algorithms is co...