Adaptive image quantisation techniques

Faculty Engineering Year: 2014
Type of Publication: ZU Hosted Pages:
Authors:
Mohammed Mohamed Foad
Journal: Int. J. Signal and Imaging Systems Engineering, Vol. 7, No. 3. German Volume:
Keywords : Adaptive image quantisation techniques    
Abstract:
This paper proposes three adaptive image quantisation techniques. These techniques calculate the quantisation levels using a method that is dependent on the images distribution pattern (hence the word ‘adaptive’) and then round off the pixe
    
     
 
       

Author Related Publications

  • Mohammed Mohamed Foad, "Efficient Image Communication in PAPR Distortion Cases", England, 2015 More
  • Mohammed Mohamed Foad, "Enhancement the Performance of Compressed Speech Signal Transmitted with Interleaved COFDM System over Doubly Dispersive Channels", Austria, 2015 More
  • Mohammed Mohamed Foad, "Surge Detection System Using Gaussian Curve Membership Function", swithrland, 2014 More
  • Mohammed Mohamed Foad, "IMPROVING THE ACCURACY OF RESIDUAL IONOSPHERIC ERRORS IN THE GPS NAVIGATION SYSTEM", Finland, 2014 More
  • Mohammed Mohamed Foad, "Performance analysis of Speech Quality in VOIP during Handover", swithrland, 2014 More

Department Related Publications

  • Hanaa Shaker Abdelbaset Ali, "Entropy with Local Binary Patterns for Efficient Iris Liveness Detection", Springer US, 2017 More
  • Fathi Abdelfattah Farag Ahmed, "Input–output Rail-to-RailCMOSCCIIforlowvoltage–low powerapplications", MicroelectronicsJournal, 2015 More
  • Mohammed Farahat Abdelhamied Abdelrahman, "Input–output Rail-to-RailCMOSCCIIforlowvoltage–low powerapplications", MicroelectronicsJournal, 2015 More
  • Ahmed Reda Abdelmouniem Mohamed, "Input–output Rail-to-RailCMOSCCIIforlowvoltage–low powerapplications", MicroelectronicsJournal, 2015 More
  • Ahmed Reda Abdelmouniem Mohamed, "Input–output Rail-to-RailCMOSCCIIforlowvoltage–low powerapplications", MicroelectronicsJournal, 2015 More
Tweet