Single sub-image matching based low complexity motion estimation for digital image stabilization using constrained one-bit transform

Urhan O., Erturk S.

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, cilt.52, sa.4, ss.1275-1279, 2006 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 52 Sayı: 4
  • Basım Tarihi: 2006
  • Doi Numarası: 10.1109/tce.2006.273145
  • Dergi Adı: IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1275-1279
  • Kocaeli Üniversitesi Adresli: Evet

Özet

A fast motion estimation approach based on single sub-image bit-plane matching for low complexity image stabilization is presented in this paper. The recently proposed one-bit transform (IBT) based motion estimation method for digital image stabilization which employs multiple sub-images has lower computational complexity, however the motion estimation accuracy is relatively low. Single sub-image matching proposed in this paper enhances motion estimation performance without causing additional computational load. Furthermore, the multiplication operation required for IBT is avoided using a new kernel. The recently proposed constrained IBT (C-IBT) that restricts pixels with values adjacent to the transform threshold is employed to increase performance at the cost of a slightly higher computational load. Experimental results show that the proposed approach outperforms other sub-image based approaches(1).