Edge-enhancement postprocessing using artificial dissipation

Author

Averbuch, Amir ; Epstein, Boris ; Rabin, Neta ; Turkel, E.

Author_Institution

Sch. of Comput. Sci., Tel Aviv Univ., Israel

Volume

15

Issue

6

fYear

2006

fDate

6/1/2006 12:00:00 AM

Firstpage

1486

Lastpage

1498

Abstract

We present a method to enhance, by postprocessing, the performance of gradient-based edge detectors. It improves the performance of the edge detector by adding terms which are similar to the artificial dissipation that appear in the numerical solution of hyperbolic PDEs. This term is added to the output of the edge detector. The edges that are missed or blurred by the edge detector are reconstructed through the addition of the artificial dissipation terms. Edges that are detected correctly by the edge detector are preserved. We present the theory of the artificial dissipation and its improvement of the quality of the detected edges. We demonstrate the performance of the algorithm on diverse images.

Keywords

edge detection; gradient methods; image enhancement; partial differential equations; artificial dissipation; edge-enhancement postprocessing; gradient-based edge detectors; partial differential equations; Detectors; Difference equations; Fluid dynamics; Frequency; Image coding; Image edge detection; Image reconstruction; Noise reduction; Partial differential equations; Smoothing methods; Artificial dissipation; Canny; edge detector; hyperbolic partial differential equations (PDE); Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/TIP.2006.875734

Filename

1632202