What's wrong with mean-squared error?
Digital images and human vision
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
An Energy-Aware QoS Routing Protocol for Wireless Sensor Networks
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
IEEE Transactions on Mobile Computing
CMOS image sensors for sensor networks
Analog Integrated Circuits and Signal Processing
Error resilient image transport in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Application Development in Vision-Enabled Wireless Sensor Networks
ICSNC '06 Proceedings of the International Conference on Systems and Networks Communication
An analysis of unreliability and asymmetry in low-power wireless links
ACM Transactions on Sensor Networks (TOSN)
Packet-loss modeling for perceptually optimized 3D transmission
Advances in Multimedia
Directional geographical routing for real-time video communications in wireless sensor networks
Computer Communications
Dynamic packet fragmentation for wireless channels with failures
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Computer Networks: The International Journal of Computer and Telecommunications Networking
Image quality assessment based on multiscale geometric analysis
IEEE Transactions on Image Processing
An empirical study of low-power wireless
ACM Transactions on Sensor Networks (TOSN)
A versatile model for packet loss visibility and its application to packet prioritization
IEEE Transactions on Image Processing
A generic quantitative relationship between quality of experience and quality of service
IEEE Network: The Magazine of Global Internetworking - Special issue on improving quality of experience for network services
A distortion-minimizing rate controller for wireless multimedia sensor networks
Computer Communications
DPLC: dynamic packet length control in wireless sensor networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Robust Image Transmission Over Wireless Sensor Networks
Mobile Networks and Applications
J-Sim: a simulation and emulation environment for wireless sensor networks
IEEE Wireless Communications
Modeling packet-loss visibility in MPEG-2 video
IEEE Transactions on Multimedia
Analysis of video transmission over lossy channels
IEEE Journal on Selected Areas in Communications
Image quality assessment based on a degradation model
IEEE Transactions on Image Processing
Error-resilient image and video transmission over the Internet using unequal error protection
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Optimized transmission of JPEG2000 streams over wireless channels
IEEE Transactions on Image Processing
Image information and visual quality
IEEE Transactions on Image Processing
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
IEEE Transactions on Image Processing
VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images
IEEE Transactions on Image Processing
Resource allocation and performance analysis of wireless video sensors
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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Recent developments with the integration of new vision capabilities into the wireless sensor devices have resulted in the necessity of investigating the behavior of well known image quality evaluation techniques in Wireless Multimedia Sensor Networks (WMSN). Wireless sensor devices can collect process and evaluate image data with a camera module. These devices can also monitor the image quality in order to take some adaptive precautions at the communications layer protocols and thus guarantee application layer quality requirements. In order to evaluate the transmitted image quality results more accurately, it's imperative to analyze the factors which lead to change in behaviors of existing image quality evaluation techniques. In this work, the effect of the transmission distortions, packet size, link and node correlation on the image quality evaluation are highlighted. The success of prevalent image quality metrics is also examined with emphasis on whether these metrics can reflect implicitly the region of interest (ROI) information in an image. Furthermore, a simple metric is proposed to estimate an image quality on the fly by considering the ROI parts of the image and using only the average of the packets and their priority level. This study leads to explore smart ways for the adaptation of the communication protocols to the wireless environment.