Papoulis-Gerchberg 방법의 개선에 의한 초해상도 영상 화질 향상
Super-resolution image enhancement by Papoulis-Gerchbergmethod improvement
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초록
This paper proposes super-resolution reconstruction algorithm for image enhancement. Super-resolution reconstruction algorithms reconstruct a high-resolution image from multi-frame low-resolution images of a scene. Conventional super- resolution reconstruction algorithms are iterative back-projection(IBP), robust super-resolution(RS)method and standard Papoulis-Gerchberg(PG)method. However, traditional methods have some problems such as rotation and ringing. So, this paper proposes modified algorithm to improve the problem. Experimental results show that this proposed algorithm solve the problem. As a result, the proposed method showed an increase in the PSNR for traditional super-resolution reconstruction algorithms.
Abstract
This paper proposes super-resolution reconstruction algorithm for image enhancement. Super-resolution reconstruction algorithms reconstruct a high-resolution image from multi-frame low-resolution images of a scene. Conventional super- resolution reconstruction algorithms are iterative back-projection(IBP), robust super-resolution(RS)method and standard Papoulis-Gerchberg(PG)method. However, traditional methods have some problems such as rotation and ringing. So, this paper proposes modified algorithm to improve the problem. Experimental results show that this proposed algorithm solve the problem. As a result, the proposed method showed an increase in the PSNR for traditional super-resolution reconstruction algorithms.
참고문헌 (6)
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- M. Irani, "Improving resolution by image registration", CVGIP : Graphical Models and Image Processing, 53(3), pp.231~239 (1991)
- A. Zomet, "Robust super-resolution", Proceedings of IEEE Computer Society Conference on Compter Vision and Pattern Recognition (CVPR '01), pp.645~650 (2001)
- Deepesh Jain, "Superresolution using Papoulis-Gerchberg Algorithm", ~