What's wrong with mean-squared error?
Digital images and human vision
Multisensor image fusion using the wavelet transform
Graphical Models and Image Processing
Data collection, storage, and retrieval with an underwater sensor network
Proceedings of the 3rd international conference on Embedded networked sensor systems
Challenges for efficient communication in underwater acoustic sensor networks
ACM SIGBED Review - Special issue on embedded sensor networks and wireless computing
Power aware image transmission in energy constrained wireless networks
ISCC '04 Proceedings of the Ninth International Symposium on Computers and Communications 2004 Volume 2 (ISCC"04) - Volume 02
Energy-aware lossless data compression
ACM Transactions on Computer Systems (TOCS)
Deployment analysis in underwater acoustic wireless sensor networks
WUWNet '06 Proceedings of the 1st ACM international workshop on Underwater networks
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
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Directional geographical routing for real-time video communications in wireless sensor networks
Computer Communications
Acoustic propagation considerations for underwater acoustic communications network development
ACM SIGMOBILE Mobile Computing and Communications Review
On the relationship between capacity and distance in an underwater acoustic communication channel
ACM SIGMOBILE Mobile Computing and Communications Review
Sub-optimal Camera Selection in Practical Vision Networks through Shape Approximation
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
MASCOTS '07 Proceedings of the 2007 15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
A spatial correlation model for visual information in wireless multimedia sensor networks
IEEE Transactions on Multimedia - Special issue on quality-driven cross-layer design for multimedia communications
Energy-efficient image compression for resource-constrained platforms
IEEE Transactions on Image Processing
A region and data hiding based error concealment scheme for images
IEEE Transactions on Consumer Electronics
Overview of channel models for underwater wireless communication networks
Physical Communication
Energy-Efficient Routing Schemes for Underwater Acoustic Networks
IEEE Journal on Selected Areas in Communications
Image quality assessment based on a degradation model
IEEE Transactions on Image Processing
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With the recent advances in Micro Electro-Mechanical Systems (MEMS) and underwater imaging sensors, and cameras, underwater multimedia sensor networks (UMSNs) have been proposed and drawn the immediate attention of the research community. Underwater multimedia sensor networks enable several new applications, such as target tracking, advanced coastal multimedia surveillance, undersea explorations, image acquisition and classification, environmental monitoring, and disaster prevention. However, the practical realization of these currently designed and envisioned applications directly depends on reliable and quality-aware communication capabilities of the deployed UMSNs. This paper presents a comprehensive performance evaluation of error concealment and error correction algorithms for quality-aware image transmission over UMSNs. Specifically, different combinations of multipath transport,watermarking-based error concealment (EC), forward error correction (FEC) and adaptive retransmission mechanisms have been evaluated to combat underwater channel impairments and mitigate packet losses due to node failures and intrinsic underwater acoustic channel characteristics. In addition, two novel image quality assessment metrics have been proposed to obtain the predicted quality of the image depending on the channel and node failures. Comparative performance evaluations show that the EC approach reconstructs the distorted image as closely as the original one while avoiding the burden of retransmissions and consequent delay.