Title | An improvement of edge-adaptive image scaling algorithm based on sobel operator |
Creator | |
Date Issued | 2017 |
Conference Name | 4th International Conference on Information Science and Control Engineering (ICISCE) |
Source Publication | 2017 4th International Conference on Information Science and Control Engineering (ICISCE)
![]() |
ISBN | 9781538630136 |
Pages | 183-186 |
Conference Date | JUL 21-23, 2017 |
Conference Place | Changsha, China |
Abstract | In this paper, an improvement of fast image scaling algorithm, which produces image with well-preserved edge, is proposed. The edge of the original image is detected by using four Sobel spatial operators. And the direction of edge is then measured by using two newly proposed edge detectors employing two threshold values. Based on these, pixels are interpolated adaptively, where edge pixels are interpolated according to the edge direction and other pixels are interpolated by using bilinear interpolation. Experiment results show that the proposed algorithm produces images with higher peak-signal-to-noise ratio (PSNR), higher structure similarity (SSIM) index, and better preserved edge than bilinear, bicubic and traditional fast edge-adaptive interpolations. When images have obvious edges, the scaled images are also subjectively looked better. |
Keyword | Bilinear interpolation Edge detection Image scaling Sobel operator |
DOI | 10.1109/ICISCE.2017.48 |
URL | View source |
Indexed By | CPCI-S |
Language | 英语English |
WOS Research Area | Computer Science ; Engineering |
WOS Subject | Computer Science, Information Systems ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS ID | WOS:000427368200040 |
Scopus ID | 2-s2.0-85040595464 |
Citation statistics | |
Document Type | Conference paper |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/6767 |
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,Yu, Ya Jun,Shi, Hongjian. An improvement of edge-adaptive image scaling algorithm based on sobel operator[C], 2017: 183-186. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment