Fourier concentration method is a well-established method for finding edges given a set of truncated Fourier data. However, it is hard to distinguish weak jumps from the Gibbs oscillations with the method unless the concentration is highly refined locally. In this note, we show that it is possible to find all edges whether strong or weak by using the method iteratively. The iterative method first finds strong edges followed by an iterative procedure in which previously found edges are smoothed by local adaptive mollifier. The iterative method is advantageous when the ratio of the largest to smallest jump magnitudes is significantly large.11Yscopu
abstract: Edge detection plays a significant role in signal processing and image reconstruction appl...
AbstractFor piecewise smooth data, edges can be recognized by jump discontinuities in the data. Succ...
abstract: Detecting edges in images from a finite sampling of Fourier data is important in a variety...
Edge detection from a finite number of Fourier coefficients is challenging as it requires extracting...
We are concerned with the problem of recovering edges of piecewise smooth functions with finitely ma...
AbstractWe are concerned with the problem of recovering edges of piecewise smooth functions with fin...
The concentration method of edge detection was developed to compute the locations and values of jum...
The concentration method of edge detection was developed to compute the locations and values of jum...
. We discuss a general framework for recovering edges in piecewise smooth functions with finitely ma...
abstract: The detection and characterization of transients in signals is important in many wide-rang...
AbstractWe are concerned with the problem of recovering edges of piecewise smooth functions with fin...
We present a new method for estimating the edges in a piecewise smooth function from blurred and noi...
We present a new method for estimating the edges in a piecewise smooth function from blurred and noi...
We present a new method for estimating the edges in a piecewise smooth function from blurred and noi...
This paper is dedicated to Eitan Tadmor for his direction. Abstract. We discuss the reconstruction o...
abstract: Edge detection plays a significant role in signal processing and image reconstruction appl...
AbstractFor piecewise smooth data, edges can be recognized by jump discontinuities in the data. Succ...
abstract: Detecting edges in images from a finite sampling of Fourier data is important in a variety...
Edge detection from a finite number of Fourier coefficients is challenging as it requires extracting...
We are concerned with the problem of recovering edges of piecewise smooth functions with finitely ma...
AbstractWe are concerned with the problem of recovering edges of piecewise smooth functions with fin...
The concentration method of edge detection was developed to compute the locations and values of jum...
The concentration method of edge detection was developed to compute the locations and values of jum...
. We discuss a general framework for recovering edges in piecewise smooth functions with finitely ma...
abstract: The detection and characterization of transients in signals is important in many wide-rang...
AbstractWe are concerned with the problem of recovering edges of piecewise smooth functions with fin...
We present a new method for estimating the edges in a piecewise smooth function from blurred and noi...
We present a new method for estimating the edges in a piecewise smooth function from blurred and noi...
We present a new method for estimating the edges in a piecewise smooth function from blurred and noi...
This paper is dedicated to Eitan Tadmor for his direction. Abstract. We discuss the reconstruction o...
abstract: Edge detection plays a significant role in signal processing and image reconstruction appl...
AbstractFor piecewise smooth data, edges can be recognized by jump discontinuities in the data. Succ...
abstract: Detecting edges in images from a finite sampling of Fourier data is important in a variety...