Selective Gray-Coded Bit-Plane-Based Two-Bit Transform and Its Efficient Hardware Architecture for Low-Complexity Motion Estimation
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, cilt.64, sa.3, ss.259-266, 2018 (SCI-Expanded, Scopus)
- 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.