nowadays, sar imaging systems have become more interesting for scientists. high spatial resolution of recent sar images has become a key factor for their accurate applications such as interferometry, radargrammetry and change detection. in these applications, sar image matching procedure is a critical step for conjugate point extraction which is much more difficult than the optical images. the ...

We consider the sensor broadcast problem: in our setup, sensors measure each one pixel of an image that unfolds over a field, and broadcast a rate constrained encoding of their measurements to every other sensor—the goal is for all sensors to form an estimate of the entire image. In recent work, we proposed a protocol that uses wavelets to decorrelate sensor data, taking advantage of the compac...

A problem associated with digital single lens (DSLR) cameras is sensor dust. This problem arises due to dust particles attracted to the sensor, when the interchangeable lens is removed, creating a dust pattern in front of the imaging sensor. Sensor dust patterns reveals themselves as artifacts on the captured images and they become more visible at smaller aperture values. Since this pattern is ...

In recent years, many applications using a pair of RGB and near-infrared (NIR) images have been proposed in computer vision and image processing communities. Thanks to recent progress of image sensor technology, it is also becoming possible to manufacture an image sensor with a novel spectral filter array, which has RGB plus NIR pixels for one-shot acquisition of the RGB and the NIR images. In ...

a r t i c l e i n f o Keywords: Image compression Wireless sensor networks System-on-chip Low power hardware VLSI In this paper, we present and evaluate a hardware solution for user-driven and packet loss tolerant image compression, especially designed to enable low power image compression and communication over wireless camera sensor networks (WCSNs). The proposed System-on-Chip is intended to...

Compression is one of the most demanding of the processing steps. Still, image compression is achieved by removing spatial redundancy, while in video devices, temporal redundancy can be used to further improve the compression performance. Various image compression algorithms and coding schemes have been proposed, such as predictive coding, Discrete Cosine Transform (DCT) based compression algor...