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http://dx.doi.org/10.6109/jkiice.2017.21.9.1738

Efficient image-stitching using preprocessing for a super resolution image  

Bae, JoungEun (Department of Media Software, Sangmyung University)
Yoo, Hoon (Department of Media Software, Sangmyung University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.9, 2017 , pp. 1738-1743 More about this Journal
Abstract
This paper presents an efficient image stitching method using preprocessing in order to generate a super resolution image. Two-dimensional (2D) scanners are consistently used in various areas but they have limitations such as paper sizes and materials. To overcome these problem with low-cost, an efficient imaging stitching method is proposed for producing a super resolution panorama image. To scan a very large sized paper using mobile phones, a simple portable cradle which fixes height is employed producing an input image set. To improve matching performance, a preprocessing method is introduced before searching correspondences. Then alpha blending is applied to an input image set to produce a super resolution panorama image. The proposed method is faster and easier than the existing method which is employed by Open CV. Experiment results show that the proposed method is three times faster and performs better than the existing method.
Keywords
Super resolution image; Image Stitching; 2D scanner;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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