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In this paper, we focus on image quality assessment (IQA) in sensor networks and propose a novel method named gradient magnitude and variance pooling (GMVP). The proposed GMVP follows a two-step framework. In this first step, we utilize gradient magnitude to compute the local quality, which is efficient and responsive to degeneration when the images are transmitted by sensor networks. In the second...
Cloud classification of ground-based images is a challenging task due to extreme variations under different atmospheric conditions. With the development of wireless sensor networks (WSN), it provides the possibility to understand and classify clouds more accurately. Recent research has focused on extracting discriminative cloud image features in WSN, which plays a crucial role in achieving competitive...
New communication networks are composed of multiple heterogeneous types of networks including Internet, mobile networks, and sensor networks. Wireless sensor networks have been applied to various businesses and industries since the last decade. Most sensors have the ability of communication and the requirement of low power consumption. 6LoWPAN (IPv6 over Low Power Wireless Personal Area Networks)...
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