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Stereoscopic vision is a complex system which receives and integrates perceptual information from both monocular and binocular cues. In this paper, a novel reduced-reference stereoscopic image quality assessment scheme is proposed, based on the visual perceptual information measured by entropy of classified primitives (EoCP) and mutual information of classified primitives (MIoCP), named as DCprimary,...
The human visual perception is a layered progressive process that brain assimilates visual information gradually, from primary information, structural information to detailed information. Recently, the visual primitives (atoms in the dictionary) extracted by sparse representation have been shown to be highly related to the layered progressive process of human visual perception. In this paper, the...
In this paper, we propose a novel reduced reference stereoscopic image quality assessment (RR-SIQA) metric by using binocular perceptual information (BPI). BPI is represented by the distribution statistics of visual primitives in left and right views’ images, which are extracted by sparse coding and representation . Specifically, entropy of the left view’s image and entropy of the right view’s image...
Stereoscopic image quality assessment has been widely studied in last decades; however, the research on 3D quality of experience (QoE) is proposed recently. As a part of human stereo perception, 3D QoE plays an important role to stereoscopic image quality assessment. In this paper, an objective metric is proposed based on the hypothesis that binocular vision system is sensitive to the structure of...
Editor's NoteResearchers at Kean University describe their experience developing and deploying a real-time environmental monitoring and visualization system using a mesh network of wireless sensors. Challenges they addressed in their design of the Wireless Integrated Network Sensors (WiNS) application include issues associated with the data volume, latency, and data synchronization from individually...
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