Title | An Edge Based Adaptive Interpolation Algorithm for Image Scaling |
Creator | |
Date Issued | 2017 |
Conference Name | Future Technologies Conference (FTC) 2017 |
Source Publication | Proceedings of the 2017 Future Technologies Conference (FTC)
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Pages | 327-331 |
Conference Date | 29-30 November 2017 |
Conference Place | Vancouver, 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. |
Keyword | Image scaling edge detection Sobel operator Canny operator bilinear interpolation bicubic interpolation |
URL | View source |
Language | 英语English |
Document Type | Conference paper |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/6801 |
Collection | Research 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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