The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Super-Resolution Image Processing Algorithm Using Hybrid Up-sampling

하이브리드 업샘플링을 이용한 베이시안 초해상도 영상처리

  • 박종현 (연세대 공대 전기전자공학과) ;
  • 강문기 (연세대 공대 전기전자공학과)
  • Published : 2008.02.01
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Abstract

In this paper, we present a new image up-sampling method which registers low resolution images to the high resolution grid when Bayesian super-resolution image processing is performed. The proposed up-sampling method interpolates high-resolution pixels using high-frequency data lying in all the low resolution images, instead of up-sampling each low resolution image separately. The interpolation is based on B-spline non-uniform re-sampling, adjusted for the super-resolution image processing. The experimental results demonstrate the effects when different up-sampling methods generally used such as zero-padding or bilinear interpolation are applied to the super-resolution image reconstruction. Then, we show that the proposed hybird up-sampling method generates high-resolution images more accurately than conventional methods with quantitative and qualitative assess measures.

Keywords

References

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