Selective Gray-Coded Bit-Plane-Based Two-Bit Transform and Its Efficient Hardware Architecture for Low-Complexity Motion Estimation

CELEBI A., YAVUZ S., ÇELEBİ A., URHAN O.

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, cilt.64, sa.3, ss.259-266, 2018 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 64 Sayı: 3
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1109/tce.2018.2851786
  • Dergi Adı: IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.259-266
  • Anahtar Kelimeler: Low-complexity binarization, gray coding, motion estimation, one-bit transform, SEARCH ALGORITHM, DESIGN
  • Kocaeli Üniversitesi Adresli: Evet

Özet

In this paper, a novel low bit-depth representation-based motion estimation approach with its hardware architecture is presented. The low bit-depth representation of pixels in the proposed method is constructed by choosing them from the gray-coded bit planes in an efficient way. Additionally, a new matching creation is also presented to improve the motion estimation accuracy. Thanks to the proposed binarization approach, the computation load is considerably reduced compared to filtering-based low bit-depth representation motion estimation methods. A novel hardware architecture for the proposed method is also presented in this paper. Experimental results revealed that the proposed motion estimation method and its hardware architecture provides a good balance between motion estimation accuracy and hardware resources especially for consumer electronics applications.