Content-based blur image retrieval using quaternion approach and frequency adder LBP

  • Komal Nain Sukhia
  • M. Mohsin Riaz
  • Abdul GhafoorEmail author


The paper presents a content based image retrieval scheme based on feature extraction and weighing. Features are extracted using frequency adder based local binary pattern and blur detection metric which are then optimally combined using a weighing scheme. Simulations are performed on modified Wang and KTH-TIPS databases, which include images from four different classes of blur respectively. Comparison of simulation results with the state-of-the-art techniques show better retrieval precision and recall values for proposed technique.


Content based image retrieval Quaternion Frequency adder local binary pattern Blur detection 



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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.National University of Sciences and TechnologyIslamabadPakistan
  2. 2.COMSATS UniversityIslamabadPakistan

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