Edge-preserving smoothing techniques are compared by considering a test image which contains a central disk-shaped region with a step or a ramp edge against a uniform background. Free parameters are the amplitude of Gaussian noise added, the edge slope and the number of filtering iterations. The quantitative comparison measure is the normalised squared error between the filtered noisy image and the noise-free image, on the uniform image regions and on the transition region separately. The filters considered are analysed with respect to their performance under variations in the free parameters and their computer-time consumption. Results obtained are compared with published data available. © 1990
Includes bibliographical references (pages 52-53)The main goal of this project is to design a filter...
We introduce recent and very recent smoothing methods and discuss them in the common framework of 'e...
The method of regularization is portrayed as providing a compromise between fidelity to the data and...
Edge-preserving smoothing techniques are compared by considering a test image which contains a centr...
A quantitative evaluation of several edge-preserving noise-smoothing techniques is presented. All of...
A comparison paper is presented to evaluate the result from five smoothing filters. The filters are ...
This paper introduces a new approach to edge-preserving smoothing of digital images. It is designed ...
We introduce some recent and very recent smoothing methods which focus on the preservation of bounda...
We introduce some recent and very recent smoothing methods which focus on the preservation of bounda...
Images corrupted by the noise during either transmission or acquisition process. Filtering and or sm...
An edge preserving smoothing algorithm is presented. To prevent smoothing over edges, the algorithm ...
155 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1984.In this thesis, three separat...
<p>(a) The natural image, results by (b) LGM (<i>λ</i> = 0.35), and (c) ILGM(<i>λ</i> = 0.0035). (d)...
. We introduce recent and very recent smoothing methods and discuss them in the common framework of ...
The statistical range was substituted for the variance in local noise smoothing algorithms proposed ...
Includes bibliographical references (pages 52-53)The main goal of this project is to design a filter...
We introduce recent and very recent smoothing methods and discuss them in the common framework of 'e...
The method of regularization is portrayed as providing a compromise between fidelity to the data and...
Edge-preserving smoothing techniques are compared by considering a test image which contains a centr...
A quantitative evaluation of several edge-preserving noise-smoothing techniques is presented. All of...
A comparison paper is presented to evaluate the result from five smoothing filters. The filters are ...
This paper introduces a new approach to edge-preserving smoothing of digital images. It is designed ...
We introduce some recent and very recent smoothing methods which focus on the preservation of bounda...
We introduce some recent and very recent smoothing methods which focus on the preservation of bounda...
Images corrupted by the noise during either transmission or acquisition process. Filtering and or sm...
An edge preserving smoothing algorithm is presented. To prevent smoothing over edges, the algorithm ...
155 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1984.In this thesis, three separat...
<p>(a) The natural image, results by (b) LGM (<i>λ</i> = 0.35), and (c) ILGM(<i>λ</i> = 0.0035). (d)...
. We introduce recent and very recent smoothing methods and discuss them in the common framework of ...
The statistical range was substituted for the variance in local noise smoothing algorithms proposed ...
Includes bibliographical references (pages 52-53)The main goal of this project is to design a filter...
We introduce recent and very recent smoothing methods and discuss them in the common framework of 'e...
The method of regularization is portrayed as providing a compromise between fidelity to the data and...