Real-time impulse noise removal

Gökcen A., Kalyoncu C.

Journal of Real-Time Image Processing, cilt.17, sa.3, ss.459-469, 2020 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 17 Sayı: 3
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1007/s11554-018-0791-y
  • Dergi Adı: Journal of Real-Time Image Processing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Compendex, INSPEC
  • Sayfa Sayıları: ss.459-469
  • Anahtar Kelimeler: Cuda, High definition, Impulse noise removal, Real-time denoising
  • İstanbul Gelişim Üniversitesi Adresli: Hayır

Özet

An adaptive interpolation-based impulse noise removal (AIBINR) algorithm is proposed to remove impulse noise from color and gray-scale images in real time. AIBINR works fast and has no need for parameter tuning to remove fixed-valued impulse noise. A GPU application has been developed to demonstrate the speed and inherent parallelization capabilities of the proposed method. Using the high-speed implementation, we have shown that AIBINR can denoise color images fast enough to be used in real-time video denoising, while having comparable denoising performance when compared to the state-of-the-art methods without any modification to its parameters.