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Nowadays, smart meters are capable of collecting, processing, storing, and reporting users' energy consumption data with high fidelity. While facilitating a wide variety of applications such as demand response and anomaly detection, smart meter data exposes users to the risks of revealing sensitive information including occupancy states and activity patterns. Among privacy-preserving data collection...
Research on screen content images (SCIs) becomes important as they are increasingly used in multi-device communication applications. In this paper, we present a study on perceptual quality assessment of distorted SCIs subjectively and objectively. We construct a large-scale screen image quality assessment database (SIQAD) consisting of 20 source and 980 distorted SCIs. In order to get the subjective...
Research on Screen Content Images (SCIs) becomes important as they are increasingly used in multi-device communication applications. In this paper, we present a study of subjective quality assessment for distorted SCIs, and investigate which part (text or picture) contributes more to the overall visual quality. We construct a large-scale Screen Image Quality Assessment Database (SIQAD) consisting...
Quality assessment of digital compound images is a less investigated research topic. In this paper, we present a study for subjective quality assessment of Digital Compound Images (DCIs), and investigate whether existing Image Quality Assessment (IQA) methods are effective to evaluate the quality of distorted DCIs. A new Compound Image Quality Assessment Database (CIQAD) is constructed, including...
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