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Enhanced Image Magnification Using Edge Information  

Je, Sung-Kwan (부산대학교 전자계산학과)
Cho, Jae-Hyun (부산가톨릭대학교 컴퓨터공학과)
Cha, Eui-Young (부산대학교 전자계산학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.10, no.12, 2006 , pp. 2343-2348 More about this Journal
Abstract
Image magnification is among the basic image processing operations. The most commonly used technique for image magnification are based on interpolation method(such as nearest neighbor, bilinear and cubic interpolation). However, the magnified images produced by the techniques that often appear a variety of undesirable image artifacts such as 'blocking' and 'blurring' or too takes the processing time into the several processing for image magnification. In this paper, we propose image magnification method which uses input image's sub-band information such as edge information to enhance the image magnification method. We use the whole image and not use the one's neighborhood pixels to detect the edge information of the image that isn't occurred the blocking phenomenon. And then we emphasized edge information to remove the blurring phenomenon which incited of edge information. Our method, which improves the performance of the traditional image magnification methods in the processing time, is presented. Experiment results show that the proposed method solves the drawbacks of the image magnification such as blocking and blurring phenomenon, and has a higher PSNR and Correlation than the traditional methods.
Keywords
Image Magnification; Interpolation; Edge Detection; Bilinear Interpolation;
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