NDLI: Grey image enlargement with edge enhancement

Content Provider	IEEE Xplore Digital Library
Author	Cheng-Hsiung Hsieh Wei-Lung Hung Chia-Wei Lan
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Chaoyang Univ. of Technol., Wufong (Cheng-Hsiung Hsieh; Wei-Lung Hung; Chia-Wei Lan)
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.
Starting Page	3272
Ending Page	3276
File Size	489658
Page Count	5
File Format	PDF
ISBN	9781424420957
DOI	10.1109/ICMLC.2008.4620970
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Pixel Interpolation Polynomials Smoothing methods Machine learning Cybernetics Edge Enhancement Yomial Interpolation Image Enlargement
Content Type	Text
Resource Type	Article

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