Multi-Frame-Based Super Resolution Algorithm by Using Motion Vector Normalization and Edge Pattern Analysis

@article{Kwon2013MultiFrameBasedSR,
  title={Multi-Frame-Based Super Resolution Algorithm by Using Motion Vector Normalization and Edge Pattern Analysis},
  author={Soon-Chan Kwon and Ji-Sang Yoo},
  journal={The Journal of Korean Institute of Communications and Information Sciences},
  year={2013},
  pages={164-173}
}
  • Soon-Chan Kwon, Ji-Sang Yoo
  • Published 2013
  • Mathematics
  • The Journal of Korean Institute of Communications and Information Sciences
The present invention relates to a method for creating a multi-frame-based super-resolution image, which receives a low-resolution image and creates a multi-frame-based super-resolution image using motion vector normalization and edge pattern analysis. The method comprises the steps of (a) selecting, from a low-resolution image, an image at target time and an image at time before and after the target time; (b) expanding, to pixels, the sub pixels of the images (hereinafter, target image) at the… Expand

References

SHOWING 1-10 OF 15 REFERENCES
Video Super-Resolution Algorithm Using Bi-Directional Overlapped Block Motion Compensation and On-the-Fly Dictionary Training
  • 66
  • PDF
Super-resolution Algorithm using Discrete Wavelet Transform for Single-image
  • 7
  • Highly Influential
  • PDF
Super-resolution image reconstruction: a technical overview
  • 3,057
  • Highly Influential
  • PDF
Super-resolution enhancement technique for low resolution video
  • 39
Generalizing the Nonlocal-Means to Super-Resolution Reconstruction
  • 671
  • PDF
Fast mode decision and motion estimation for H.264 (FMDME)
  • 15
Fast Motion Estimation System Using Dynamic Models for H.264/AVC Video Coding
  • 62
Kernel Regression for Image Processing and Reconstruction
  • 1,249
  • PDF
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