Fuzzy rough sets hybrid scheme for motion and scene complexity adaptive deinterlacing

  • Authors:

  • Gwanggil Jeon;Marco Anisetti;Donghyung Kim;Valerio Bellandi;Ernesto Damiani;Jechang Jeong

  • Affiliations:

  • Department of Electronics and Computer Engineering, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul, Republic of Korea;Department of Information Technology, University of Milan, via Bramante, 65, 26013 Crema (CR), Italy;Radio and Broadcasting Research Division, Broadcasting Media Research Group, ETRI, 138 Gajeongno, Yuseong-gu, Daejeon 305-700, Republic of Korea;Department of Information Technology, University of Milan, via Bramante, 65, 26013 Crema (CR), Italy;Department of Information Technology, University of Milan, via Bramante, 65, 26013 Crema (CR), Italy;Department of Electronics and Computer Engineering, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul, Republic of Korea

  • Venue:
  • Image and Vision Computing
  • Year:
  • 2009

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Abstract

Current research activities in the field of deinterlacing include the selection of suitable deinterlacing methods and the estimation of the exact value of a missing line. This paper proposes a spatio-temporal domain fuzzy rough sets rule for selecting a deinterlacing method that is suitable for regions with high motion or frequent scene changes. The proposed algorithm consists of two parts. The first part is fuzzy rule-based edge-direction detection with an edge preserving part that utilizes fuzzy theory to find the most accurate edge direction and interpolates the missing pixels. Using the introduced gradients in the interpolation, the vertical resolution in the deinterlaced image is subjectively concealed. The second part of the proposed algorithm is a rough sets-assisted optimization which selects the most suitable of five different deinterlacing methods and successively builds approximations of the deinterlaced sequence. Moreover, this approach employs a size reduction of the database system, keeping only the information essential for the process. The proposed algorithm is intended not only to be fast, but also to reduce deinterlacing artifacts.