Objective Hybrid Image Quality Metric for In-Service Quality Assessment

作者: Tubagus Maulana Kusuma , Hans-Jürgen Zepernick

DOI: 10.1007/0-387-22928-0_4

关键词: Computer visionComputer scienceJPEGMetric (unit)Human visual system modelImage qualityArtificial intelligenceHybrid imageQuality (business)Service qualitySubjective video quality

摘要: User-oriented image quality assessment has become a key factor in multimedia communications as means of monitoring perceptual service quality. However, existing metrics such Peak Signal-to-Noise Ratio (PSNR) are inappropriate for in-service since they require the original to be available at receiver. Although PSNR and others objective metrics, not based on human visual perception typically designed measure fidelity. On other hand, system (HVS) is more sensitive than In order overcome these problems, we propose novel reduced-reference hybrid metric (RR-HIQM) that accounts does reference This combination several artifact measures. The result single number, which represents overall

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