Grey image enlargement with edge enhancement

Author

Hsieh, Cheng-Hsiung ; Hung, Wei-Lung ; Lan, Chia-Wei

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Chaoyang Univ. of Technol., Wufong

Volume

6

fYear

2008

fDate

12-15 July 2008

Firstpage

3272

Lastpage

3276

Abstract

In a previous paper, we presented an image enlargement approach based on the grey polynomial interpolation (GPI) (Hsieh et al., 2007). In this paper, we propose an edge enhancement scheme to improve the enlarged image by the GPI. The proposed approach is called GPI/EE (GPI with edge enhancement). Basically, the edge enhancement consists of two stages. First, the edge in the enlarged image is enhanced by Laplacian filter. This doing relieves the blur in the enlarged image. Next, the zigzag edge in the image after Stage 1 is solved by smoothing neighborhood pixels around edges which are located by Canny edge detector. Examples are provided to justify the GPI/EE approach. Simulation results indicate that the enlargement image obtained by GPI/EE has better visual quality than that by GPI in the given examples.

Keywords

edge detection; grey systems; image enhancement; interpolation; Laplacian filter; edge enhancement; grey image enlargement; grey polynomial interpolation; neighborhood pixels; Cybernetics; Detectors; Filters; Image edge detection; Interpolation; Laplace equations; Machine learning; Pixel; Polynomials; Smoothing methods; Edge Enhancement; Image Enlargement; Yomial Interpolation;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620970

Filename

4620970