The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
권호 표지

Resolution enhanced integral imaging using super-resolution image reconstruction algorithm

초해상도 영상복원을 이용한 집적영상의 해상도 향상

  • 홍기훈 (서울대학교 전기컴퓨터공학부 광공학 연구실) ;
  • 박재형 (충북대학교 3차원 정보 처리 연구실) ;
  • 이병호 (서울대학교 전기컴퓨터공학부 광공학 연구실)
  • Published : 2009.10.31
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Abstract

We proposed a new method to improve the resolution of elemental image set in the integral imaging system using super-resolution image reconstruction method. Adjacent elemental images have same image region which is projected from the common area of object. These projected images in the elemental image can be used for low resolution images of super-resolution method. Two methods for resolution improvement of elemental image set using super-resolution method are proposed. One is super-resolution among the elemental image sets and the other is among the elemental images. Simulation results are compared with resolution improved elemental image set using interpolated method.

본 논문은 집적영상의 요소영상을 초해상도 영상복원에 이용하여 집적영상의 해상도를 향상시키는 방법을 제안한다. 집적영상에서 전체 요소영상의 인접한 단일 요소영상들 사이에는 대상물체의 동일한 부분의 상을 포함하는 공통부분이 존재한다. 이러한 공통부분들을 초해상도 영상복원의 저해상도 영상으로 이용하게 되면 CCD(Charge Coupled Device) 등의 영상취득 장치의 제한된 해상도로 인한 집적영상의 낮은 해상도 문제를 보완 할 수 있게 된다. 전체 요소영상과 제안된 방법을 이용하여 해상도를 향상시킨 전체 요소영상을 비교하여 제안된 방법의 타당성을 증명하였다.

Keywords

References

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