An Improvement of Edge-Adaptive Image Scaling Algorithm Based on Sobel Operator

Chen, Wanli; Yu, Ya Jun; Shi, Hongjian

10.1109/ICISCE.2017.48

2017

978-1-5386-3014-3

2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE)

183-186

21-23 July 2017

Changsha, Hunan, China

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

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.

Image scaling Sobel operator Edge detection Bilinear interpolation

第一 ; 通讯

英语

CPCI-S ; EI

Computer Science ; Engineering

Computer Science, Information Systems ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic

WOS:000427368200040

20180304655943

Image coding ; Image enhancement ; Interpolation ; Pixels ; Signal to noise ratio

Information Theory and Signal Processing:716.1 ; Numerical Methods:921.6

Web of Science

Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen, Guangdong, Peoples R China

Chen, Wanli,Yu, Ya Jun,Shi, Hongjian. An Improvement of Edge-Adaptive Image Scaling Algorithm Based on Sobel Operator[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017:183-186.