Image in painting method based on evolutionary algorithm

Publication Type

Journal Article

Publication Date

4-2011

Abstract

This paper proposes an image in painting method based on evolutionary algorithm. The main idea of the proposed method is to restore the structure information and texture information separately. The structure information is extracted from the damaged image which is presented by several contour lines. An optimizing method based on evolutionary algorithm is proposed to analyze the structure information to find out the related structural information and calculate the related contour lines that should be connected to each other. The optimizing results as obtained by evolutionary algorithm combined with the curve fitting method gives the best matching solution to restore the dam aged structure information. The restored structure information divides the damaged image into several parts. The final in painted image as obtained after the lost texture information in every part is in painted. The efficiency of the proposed method is demonstrated by case studies in this paper.

Keywords

Evolutionary algorithm, Image in painting, Related contour lines, Related structure information, Texture information

Discipline

Operations Research, Systems Engineering and Industrial Engineering | Theory and Algorithms

Research Areas

Intelligent Systems and Optimization

Publication

International Journal of Digital Content Technology and its Applications

Volume

5

Issue

4

First Page

187

Last Page

193

ISSN

1975-9339

Identifier

10.4156/jdcta.vol5.issue4.16

Additional URL

https://doi.org/10.4156/jdcta.vol5.issue4.16

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