Full Reference Image Quality Assessment: A Survey

  • Baisakhi Sur PhadikarEmail author
  • Goutam Kumar Maity
  • Amit Phadikar
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 11)


This article presents a brief review on full-reference (FR) image quality assessment (IQA) techniques. The discussion starts with traditional Peak Signal-to-Noise Ratio (PSNR) and then gradually moves to complex IQA models based on wavelets (or its various variants) and human visual system (HVS). The techniques are discussed from mathematical perspective to theoretical viewpoint. These discussions will be very useful for relevant researchers to have an apparent understanding about the status of recent FR-IQA. Few research problems are also discussed as an outcome of the article.




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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Baisakhi Sur Phadikar
    • 1
    Email author
  • Goutam Kumar Maity
    • 2
  • Amit Phadikar
    • 3
  1. 1.Department of Computer Science & EngineeringMCKV Institute of EngineeringLiluahIndia
  2. 2.Department of ECENetaji Subhash Engineering CollegeGariaIndia
  3. 3.Department of Information TechnologyMCKV Institute of EngineeringLiluahIndia

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