Video Quality Prediction Using a 3D Dual-Tree Complex Wavelet Structural Similarity Index

  • K. Yonis
  • R. M. Dansereau
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6134)


In this paper, we test the performance of the complex wavelet structural similarity index (ℂW-SSIM) using the 2D dual-tree complex wavelet transform (DT-ℂWT). Also, we propose using a 3D DT-ℂWT with the ℂW-SSIM algorithm, to predict the quality of digital video signals. The 2D algorithm was tested against the LIVE image database and has shown higher correlation with the subjective results than peak signal-to-noise ratio (PSNR), structural similarity (SSIM), and the initial steerable pyramid implementation of ℂW-SSIM. The proposed 3D DT-ℂWT implementation of the ℂW-SSIM is tested against a set of subjectively scored video sequences from the video quality experts group’s (VQEG) multimedia (MM) project and gave promising results. Both implementations were validated to be good quality assessment tools to be embedded with DT-ℂWT based image and video denoising algorithms as well as DT-ℂWT image and video coding algorithms.


Objective video quality assessment dual-tree wavelet structural similarity 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • K. Yonis
    • 1
  • R. M. Dansereau
    • 1
  1. 1.Department of Systems and Computer EngineeringCarleton UniversityOttawaCanada

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