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Consecutive-Frame Super-Resolution considering Moving Object Region
Journal of The Korea Society of Computer and Information
Abbr :
JKSCI
2017, 22(3), pp.45-51
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
2017, 22(3), pp.45-51
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
Cho SungMin 1, JEONG WOO JIN 2, Kyung Hyun Jang 3, Byung-In Choi 4, Young Shik Moon 5
1한양대학교
2한양대학교
3한화시스템
4한화시스템
5한양대학교
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In this paper, we propose a consecutive-frame super-resolution method to tackle a moving object problem. The super-resolution is a method restoring a high resolution image from a low resolution image. The super-resolution is classified into two types, briefly, single-frame super-resolution and consecutive-frame super-resolution. Typically, the consecutive-frame super-resolution recovers a better than the single-frame super-resolution, because it use more information from consecutive frames. However, the consecutive-frame super-resolution failed to recover the moving object. Therefore, we proposed an improved method via moving object detection. Experimental results showed that the proposed method restored both the moving object and the background properly.
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