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

• Published in: Advanced Concepts for Intelligent Vision Systems pp. 496 - 505
• Main Authors: Xie, Xinwen, Carré, Philippe, Perrine, Clency, Pousset, Yannis, Wu, Jianhua, Zhou, Nanrun
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Decoding strategy; K-nearest neighbors algorithm; Quality of experience; Reduced-reference image quality metric; Support vector machine
• ISBN: 3030014487; 9783030014483
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-030-01449-0_42

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).