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A Global Decoding Strategy with a Reduced-Reference Metric Designed for the Wireless Transmission of JPWL

  • Xinwen Xie
  • Philippe Carré
  • Clency Perrine
  • Yannis Pousset
  • Jianhua Wu
  • Nanrun Zhou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11182)

Abstract

A new global decoding strategy with Reduced-Reference (RR) metric is proposed to improve the Quality of Experience (QoE) in a wireless transmission context. The RR metric (FMRP) utilizes the magnitude and the relative phase information in the complex wavelet domain as the evaluation features. It determines the number of decoder layers to achieve the goal of evaluating the image in a consistent way with the Human Visual system (HVS). To evaluate the performance of the decoding strategy, we collected some distorted images in realistic channel attacks and recruited volunteers to do a large psychovisual test. The distorted images and the classification data of voluntary assessors are integrated into a database which is in a realistic wireless channel context quite different from the classic database. Experimental studies confirm that the decoding strategy is effective and improves the QoE while ensuring the Quality of Service (QoS).

Keywords

Reduced-reference image quality metric Quality of experience Decoding strategy Support vector machine K-nearest neighbors algorithm 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Xinwen Xie
    • 1
    • 2
    • 3
  • Philippe Carré
    • 1
  • Clency Perrine
    • 1
  • Yannis Pousset
    • 1
  • Jianhua Wu
    • 2
  • Nanrun Zhou
    • 2
  1. 1.Université de Poitiers, XLIM InstituteFuturoscope-Chasseneuil CedexFrance
  2. 2.Department of Electronic Information EngineeringNanchang UniversityNanchangChina
  3. 3.Department of Electronic EngineeringJiujiang UniversityJiujiangChina

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