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TitleAn Edge Based Adaptive Interpolation Algorithm for Image Scaling
Creator
Date Issued2017
Conference NameFuture Technologies Conference (FTC) 2017
Source PublicationProceedings of the 2017 Future Technologies Conference (FTC)
Pages327-331
Conference Date29-30 November 2017
Conference PlaceVancouver, Canada
Abstract

In this paper, the Canny and Sobel operators are combined to scale an image and to produce an image with high resolution and clear edges. The Canny operator is used at first to detect edges of the objects inside the original image. After that, four Sobel operators in different directions are applied to detect the edge directions. The direction of the edge at one edge point is determined by comparing the first derivatives of the intensity at edge pixels. The image interpolation is carried out adaptively according to the determined edge direction. For the homogeneous areas, the bilinear interpolation is applied. After image scaling, one method to suppress the zig-zag noises is applied to enhance the output image. The first and second steps of such zig-zag suppression are the same with the proposed image scaling algorithm. Then the pixels around the edge pixels are specially modified. The experimental results show that our proposed algorithm could produce scaled images with high resolution and well-preserved edges.

KeywordImage scaling edge detection Sobel operator Canny operator bilinear interpolation bicubic interpolation
URLView source
Language英语English
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/6801
CollectionResearch outside affiliated institution
Affiliation
Department of Electrical and Electronic Engineering Southern University of Science and Technology, Shenzhen, Guangdong, China
Recommended Citation
GB/T 7714
Chen, Wanli,Shi, Hongjian. An Edge Based Adaptive Interpolation Algorithm for Image Scaling[C], 2017: 327-331.
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