Performance Evaluation of Wavelet-Based Image Compression Techniques

  • Nishat Bano
  • Monauwer Alam
  • Shish Ahmad
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)


Wavelet transform provides excellent energy compaction and exploits redundancy for better image compression. This paper analyses the performance of wavelet-based image compression techniques, namely set partitioning in hierarchical trees (SPIHT), set partitioned embedded block (SPECK) and JPEG2000. Image quality measured as peak signal-to-noise ratio and computational complexity, i.e. encoding and decoding times, is calculated for these techniques. Simulation results show that JPEG2000 outperforms other state-of-the-art wavelet image codecs (SPIHT and SPECK) in coding efficiency and computational complexity. Simulation is carried out on various images of different dimensions at different bit rates using MATLAB software.


JPEG2000 Set partitioning in hierarchical trees (SPIHT) Set partitioned embedded block coder (SPECK) Wavelet transform 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Electronics EngineeringIntegral UniversityLucknowIndia
  2. 2.Department of Computer ScienceIntegral UniversityLucknowIndia

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