Network Reprogramming of sensor nodes is a necessity, with the explosion in the number of individual sensors being deployed for live experiments as well as in testbeds. Personalized physical reprogramming of large number of nodes is impractical both in terms of manpower cost and the amount of time expended for such purposes. We propose a network reprogramming protocol specifically targeted at d...

Ambient Intelligence (AmI) hinges on three key technologies: ubiquitous computing, ubiquitous communication, and intelligent user-friendly interfaces. In order for there to be intelligence and communication of relevance to people, sensor inputs are essential. One of the most versatile and, in our estimation, crucial of all possible inputs is the image sensor. To fulfill the dream of AmI and to ...

The new Kodak KAI-11000CM image sensor, a 35-mm format, 11-Megapixel interline CCD, has been characterized in terms of its performance in photography applications. Traditional sensor performance parameters are summarized in addition to photographic image quality parameters. A photographic evaluation of the sensor, including measurements of signal-to-noise ratio and color fidelity, is described....

The recent development of the CMOS active pixel sensor (APS) has, for the first time, pennitted large scale in­ tegration of supporting circuitry and smart camera functions on the same chip as a high-performance image sensor. This paper reports on the demonstration of a new 128 x 128 CMOS APS with programmable multiresolution readout capability. By placing signal processing circuitry on the ima...

| We propose a motion adaptive sensor for image enhancement and wide dynamic range sensing. The motion adaptive sensor is able to control integration time pixel by pixel. The integration time is determined by saturation and temporal changes of incident light. It is expected to have high temporal resolution in the moving area, high SNR in the static area, and wide dynamic range. We have fabricat...

INTRODUCTION Every imaging system starts with an image sensor. The signal from the sensor must be processed in the analog domain, converted to digital, and further processed in the digital domain. This allows the image to be analyzed, manipulated, and enhanced, prior to storage, display, transmission, and/or further processing. Imaging applications typically involve three chips—an image sensor,...

We present a probabilistic method for fusion of images produced by multiple sensors . The approach is based on an image formation model in which the sensor images are noisy, locally linear functions of an underlying, true scene. A Bayesian framework then provides for maximum likelihood or maximum a posteriori estimates of the true scene from the sensor images. Maximum likelihood estimates of th...

We report the implementation of an image sensor chip, termed wavefront image sensor chip (WIS), that can measure both intensity/amplitude and phase front variations of a light wave separately and quantitatively. By monitoring the tightly confined transmitted light spots through a circular aperture grid in a high Fresnel number regime, we can measure both intensity and phase front variations wit...

This paper presents a new intensity–to–time processing paradigm suitable for VLSI computational sensor implementation of global operations over sensed images. Global image quantities usually describe images with fewer data. When computed at the point of sensing, global quantities result in a low– latency performance due to the reduced data transfer requirements between an image sensor and a pro...