Abstract In parallel imaging, the signal‐to‐noise ratio (SNR) of sensitivity encoding (SENSE) reconstruction is usually degraded by ill‐conditioning problem, which becomes especially serious at large acceleration factors. Existing regularization methods have been shown to alleviate problem. However, they suffer from image artifacts high factors due data inconsistency resulting heavy regularization. this paper, we propose Bregman iteration for SENSE Unlike existing where function fixed,...

This paper presents a new path-based algorithm for the static user equilibrium traffic assignment problem. Path-based algorithms are generally considered less efficient than bush-based counterparts, such as Algorithm B, by paired alternative segments (TAPAS), and iTAPAS, an improved version of TAPAS, because explicitly storing manipulating paths appears wasteful. However, our numerical experiments indicate that proposed can outperform TAPAS or iTAPAS wide margin. The algorithm, sharing same...

This paper proposes a novel algorithm to determine the path flow solution that satisfies proportionality condition from given origin-based user equilibrium (UE) link solution. The iteratively refines bush representation of UE through constructing list “node-based arrival bushes” and solving entropy maximization subproblems defined on them. Thanks special structure bushes, these can be solved efficiently. proposed thus obviates known hurdles efficient implementation, such as enumerating all...

Strategy-based equilibrium traffic assignment (SETA) problems define travel choice broadly as a strategy rather than simple path. Travelers navigating through network based on end up following hyperpath. SETA is well suited to represent rich set of choices that take place en route at nodes, such transit passengers’ transfer decisions, truckers’ bidding and taxi drivers’ reposition decisions. This paper recognizes highlights the commonalities among classical emerging proposes unify them...

Video enhancement plays an important role in various video applications. In this paper, we propose a new intra-and-inter-constraint-based approach aiming to 1) achieve high intra-frame quality of the entire picture where multiple region-of-interests (ROIs) can be adaptively and simultaneously enhanced, 2) guarantee inter-frame consistencies among frames. We first analyze features from different ROIs create piecewise tone mapping curve for frame such that enhanced. further introduce...

This paper presents an extensive analytical and numerical investigation of a class origin-based algorithms for the user equilibrium–based traffic assignment problem. Nine known in this are first clustered into four algorithmic structures on basis their structural differences similarities algorithm design. A complexity analysis these is conducted by calculating frequency executing node link operations; approach provides simple way to estimate per iteration computation costs. To deliver...

The lack of a unique user equilibrium (UE) route flow in traffic assignment has posed significant challenge to many transportation applications. maximum-entropy principle, which advocates for the consistent selection most likely solution, is often used address challenge. Built on recently proposed day-to-day discrete-time dynamical model called cumulative logit (CumLog), this study provides new behavioral underpinning (MEUE) flow. It been proven that CumLog can reach UE state without...

The standard traffic assignment problem (TAP) is often augmented with additional constraints to address non-standard applications. These models are called TAP side (TAPSC). Despite the rising significance of TAPSC models, ability efficiently solve them satisfactory precision remains limited in real-world purpose this paper fill gap by integrating a recently developed high performance solver, known as path-based Greedy algorithm, Lagrangian multiplier (ALM) method. This examines how precisely...

SENSE has been widely accepted as one of the standard reconstruction algorithms for parallel MRI. When large acceleration factors are employed, becomes very ill-conditioned. For Cartesian SENSE, Tikhonov regularization commonly used. However, regularized image usually tends to be overly smooth, and a high-quality is desirable alleviate this problem but not available. In paper, we propose new technique that based on total variation with iterated refinement using Bregman iteration. It...

In this paper, a new abnormal activity detection algorithm is proposed for multi-camera surveillance applications. The models the entire scene covered by system as network. network, each node corresponds to segmentation of and edge represents correlation between corresponding segmentations. Based on further human activities signal transmission process in Thus, can be detected if their 'network energy' obviously larger than normal case. Compared with previous methods, more general flexible...

Recently, Bar-Gera proposed a new algorithm for the traffic assignment problem (TAP) that promises to produce highly precise solutions by identifying and keeping list of paired alternative segments (PAS) on origin-based subnetworks. The was named (TAPAS) algorithm. This paper presents an improved TAPAS (termed iTAPAS) enhances original mainly in two aspects: (1) PAS identification method is proposed; (2) each only associated with one origin. iTAPAS not accelerates solution convergence...

Motion deblurring techniques have played important roles in many image processing applications. In this paper, a new algorithm is proposed for motion from single image. The introduces an anisotropic Patiral Differential Equation (PDE) method latent prediction and employs adaptive optimization model the blind deconvolution iterative step. Furthermore, order to solve spatially-variant blur problems, we also propose Saliency-based Deblurring (SD) approach by introducing saliency extraction...

Vehicle detection station is the premise of planning other issues it. In order to reasonably and practically solve actual location problem vehicle station, considering influence changing number vehicles different area road conditions, expected value issue for with random demand transportation cost introduced. addition, genetic algorithm based on stochastic simulation used established model. The above study provides some guidelines decision-making station.

This paper proposes an assessment framework to quantify the competitiveness of transit relative a taxi-like service. The centers on route builder, which searches, using hyperpath-based algorithm, for best available that matches origin and destination given taxi trip. Based optimal route, we then measure service according preference rational traveler, is determined by generalized cost defined fare, in-vehicle travel time other attributes. evaluated case study constructed with multifaceted...