Motivated by an application in image processing, we introduce the grid-leveling problem. It turns out to be the dual of a minimum cost flow problem for an apex graph with a grid graph as its basis. We present an O(n^{3/2}) algorithm for this problem. The optimum solution recovers missing DC coefficients from image and video coding by Discrete Cosine Transform used in popular standards like JPEG and MPEG. Generally, we prove that there is an O(n^{3/2}) min-cost flow algorithm for networks that, after removing one node, are planar, have bounded degrees, and have bounded capacities. The costs may be arbitrary
Most primal minimum cost network flow (MCNF) algorithms can be seen as variants on cancelling negati...
Graph cuts methods are at the core of many state-of-the-art algorithms in computer vision due to the...
After [15, 31, 19, 8, 25, 5] minimum cut/maximum flow algorithms on graphs emerged as an increasingl...
Let N be a single-source single-sink flow network with n nodes, m arcs, and positive arc costs. We p...
We consider the minimum cost network flow problem min(cx: Ax=b, x> 0) on a graph G = (V,E). First...
We consider the minimum cost network flow problem min(cx: Ax=b, x> 0) on a graph G = (V,E). First...
The grid generation problem considers the question of the computation of a grid Q over a given domai...
This paper presents two new scaling algorithms for the minimum cost network flow prob-lem, one a pri...
AbstractWe present two new strongly polynomial algorithms for the minimum cost network flow problem ...
Several researchers have recently developed new techniques that give fast algorithms for the minimum...
We present two new strongly polynomial algorithms for the Minimum Cost Network Flow Problem (MCNF). ...
The network flow optimization approach is offered for restoration of gray-scale and color images cor...
We present a polynomial algorithm for the Minimum Cost Network Flow Problem (MCNF). It is a dual alg...
Developing a polynomial time primal network simplex algorithm for the minimum cost flow problem has ...
In few years, min-cut/max-flow approach has become a leading method for solving a wide range of prob...
Most primal minimum cost network flow (MCNF) algorithms can be seen as variants on cancelling negati...
Graph cuts methods are at the core of many state-of-the-art algorithms in computer vision due to the...
After [15, 31, 19, 8, 25, 5] minimum cut/maximum flow algorithms on graphs emerged as an increasingl...
Let N be a single-source single-sink flow network with n nodes, m arcs, and positive arc costs. We p...
We consider the minimum cost network flow problem min(cx: Ax=b, x> 0) on a graph G = (V,E). First...
We consider the minimum cost network flow problem min(cx: Ax=b, x> 0) on a graph G = (V,E). First...
The grid generation problem considers the question of the computation of a grid Q over a given domai...
This paper presents two new scaling algorithms for the minimum cost network flow prob-lem, one a pri...
AbstractWe present two new strongly polynomial algorithms for the minimum cost network flow problem ...
Several researchers have recently developed new techniques that give fast algorithms for the minimum...
We present two new strongly polynomial algorithms for the Minimum Cost Network Flow Problem (MCNF). ...
The network flow optimization approach is offered for restoration of gray-scale and color images cor...
We present a polynomial algorithm for the Minimum Cost Network Flow Problem (MCNF). It is a dual alg...
Developing a polynomial time primal network simplex algorithm for the minimum cost flow problem has ...
In few years, min-cut/max-flow approach has become a leading method for solving a wide range of prob...
Most primal minimum cost network flow (MCNF) algorithms can be seen as variants on cancelling negati...
Graph cuts methods are at the core of many state-of-the-art algorithms in computer vision due to the...
After [15, 31, 19, 8, 25, 5] minimum cut/maximum flow algorithms on graphs emerged as an increasingl...