Distributed Image Processing [From the Guest Editors]

The emergence of image processing systems with multiple visual sensors has created the need for novel signal processing algorithms that are able to cope with the specific constraints imposed by distributed architectures. For example, large-scale camera networks have been deployed for a variety of applications including video surveillance in buildings and public spaces, as well as monitoring roadways and environmental conditions. Given the bandwidth limitations imposed by the network as well as computation constraints at nodes of such networks, solutions based on distributed processing become particularly attractive from the point of view of communication and computational costs as well as system scalability.