Medical image segmentation is an important but difficult problem that attracts tremendous attentions of researchers from various fields. In this paper, we propose a frame based model, as well as a fast implementation, for general medical image segmentation problems. Our model combines ideas of the frame based image restoration model of [1] with ideas of the total variation based segmentation mo...

We study dynamics of quantum open systems, paying special attention to those aspects of their evolution which are relevant to the transition from quantum to classical. We begin with a discussion of the conditional dynamics of simple systems. The resulting models are straightforward but suffice to illustrate basic physical ideas behind quantum measurements and decoherence. To discuss decoherence...

An instance theory of attention and memory (ITAM) is presented that integrates formal theories of attention and memory phenomena by exploiting commonalities in their formal structure. The core idea in each theory is that performance depends on a choice process that can be modeled as a race between competing alternatives. Attention and categorization are viewed as different perspectives on the s...

We evaluate widths and shifts of pionic atoms using a theoretical microscopical potential in which the pion decay constant fπ is changed by an in–medium density dependent one ( fπ(ρ)), predicted by different partial Chiral restoration calculations. We show that the results obtained for shifts and widths are worse than if this modification were not implemented. On the other hand, we argue that i...

ABSTRACT Deblurring images corrupted by Poisson noise is a challenging process which has devoted much research in many applications such as astronomical or biological imaging. This problem, among others, is an ill-posed problem which can be regularized by adding knowledge on the solution. Several methods have therefore promoted explicit prior on the image, coming along with a regularizing param...

This paper addresses the problem of minimizing multilabel energies with truncated convex priors. Such priors are known to be useful but difficult and slow to optimize because they are not convex. We propose two novel classes of binary Graph-Cuts (GC) moves, namely the convex move and the quantized move. The moves are complementary. To significantly improve efficiency, the label range is divided...

Preheating after inflation may lead to non-thermal phase transitions with symmetry restoration. These phase transitions may occur even if the total energy density of fluctuations produced during reheating is relatively small as compared with the vacuum energy in the state with restored symmetry. As a result, in some inflationary models one encounters a secondary, non-thermal stage of inflation ...

Restoration plays a very important role in enhancing the degraded noisy images. To enhance the degraded image, the numerous algorithms have been designed. Since image processing algorithms are subjective, not all algorithms that developed will address all type of degradedness. To address specific type of problem the suitable algorithms need to be selected. In this paper a combination of spatial...

We present a method for computing dense visual correspondence based on general assumptions about scene geometry. Our algorithm does not rely on correlation, and uses a variable region of support. We assume that images consist of a number of connected sets of pixels with the same disparity, which we call disparity components. Using maximum likelihood arguments, at each pixel we compute a small s...

This paper presents a new method based on adaptive ltering theory for super-resolution restoration of continuous image sequences. The proposed methodology suggests least squares (LS) estimators which adapt in time, based on adaptive lters (LMS or RLS). The adaptation enables the treatment of linear space and time variant blurring and arbitrary motion, both of them assumed known. The proposed ne...