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디모자익킹 기술 개발을 위한 신규 맥매스터 영상 데이터에 대한 해석

Analysis on the new McMaster image dataset to develop demosaicking techniques

  • 투고 : 2011.12.08
  • 심사 : 2012.01.11
  • 발행 : 2012.02.29

초록

본 논문에서는 디모자익킹 기술 개발에서 신규 맥매스터 영상 데이터에 대한 실험을 진행하고 그에 따른 해석 결과를 제공한다. 디모자익킹 기술 개발을 위해서 사용되는 실험 영상으로 현재까지 가장 알려져 있는 데이터는 코닥 영상이다. 하지만 최근 신규 영상 데이터가 개발됨으로써 이전과는 다른 디모자익킹 실험 결과를 보여주고 있다. 따라서, 본 논문에서는 코닥 영상과 맥매스터 영상에 대한 통계적 특성을 실험, 분석 하고 비교함으로써 신규 실험 영상이 어떤 특징을 갖는지에 대해서 해석한다. 또한 실험 결과와 해석은 맥매스터 영상이 디모자익킹 기술 개발에 실험 영상으로써 가치가 있음을 보여주며, 향후 개발될 디모자익킹 기술에 대한 기초 자료로 활용될 것으로 기대된다.

This paper describes experimental results and their analysis on the new test images, called as the McMaster image dataset, to develop demosaicking techniques. The well-known image dataset for demosaicking is so far the Kodak image dataset. However, different results have been reported, as the new image dataset is engaged in developing demosaicking techniques. Thus, we conduct a series of experiments on both the McMaster dataset and the Kodak dataset; we analyze and compare those experimental results; and we provide the peculiar features of the new dataset. Also, the experimental results and their analysis indicate that the McMaster dataset deserves to be a test image dataset for future demosaicking techniques; thus, we expect they can be utilized as basic data for demosaicking.

키워드

참고문헌

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피인용 문헌

  1. Demosaicking Method using High-order Interpolation with Parameters vol.62, pp.9, 2013, https://doi.org/10.5370/KIEE.2013.62.9.1276
  2. Demosaicking of Hexagonally-Structured Bayer Color Filter Array vol.63, pp.10, 2014, https://doi.org/10.5370/KIEE.2014.63.10.1434