Terry A. Bartlett

Dynamic optical filtering in DWDM systems using the DMD

Summary form only given. We describe applications of the Texas Instruments Digital Micromirror Device (DMD) as a high efficiency spatial light modulator for dynamic optical filtering and switching in Dense Wavelength Division Multiplexed (DWDM) optical networks. Whereas the DMD has found wide acceptance as a spatial light modulator in video display applications, the present paper describes applications of the DMD to DWDM signal processing. The DMD is shown in this work to behave as a 2-dimensional switched blazed gating when modulating coherent light. In addition, the efficiency of fiber coupling will be shown to depend on the amplitude of the overlap integral between the modulated field and the mode of the output. Hence, the efficiency of the fiber coupling depends not only on the amplitude of the fields, but on how well they are matched in phase. The DMD is very suitable to digital processing of optical networking signals where it can be used as a series of parallel optical switches (e.g. 400-l/spl times/2 switches). A very useful optical platform combines the DMD with a dispersive element such as a gating or a prism. DWDM signals are first dispersed and impinge onto the DMD, which is then used as a reflective adaptive slit. The DMD selectively routes specific wavelengths back into one of two optical paths or ports. Using this general configuration of the DMD as an adaptive optical slit, we have demonstrated several network functions including digital optical equalization, optical add drop multiplexing and optical performance monitoring. In this presentation, we will describe these applications of the DMD as well as describe system performance attributes (insertion loss, polarization dependent loss, group delay and power penalty) as they pertain to the DMD structure and DMD based optical signal processing.

52.2: Application of a Novel, More étendue-Efficient Light Engine Technology to Enable Micro-Portable DLP Projectors

As the projection industry evolves, there is a perpetual push for smaller and brighter projectors. A newly developed etendue efficient light engine (eele-enhanced™) technology combined with Digital Light Processing (DLP™) holds promise to deliver improved brightness, lifetime and/or more compact projection display systems. This paper describes an application of the eele-enhanced™ technology for building Micro-Portable DLP projectors.

Simplified IR signature prediction for model-based ATR

This paper discusses an approach for applying IR target modeling to aid model-based automatic target recognition (ATR) algorithms. The paper also presents results based on experiments with real long-wavelength IR data. The algorithm uses an IR thermal prediction model to approximate the (long-wave IR) expected target signature. The algorithm then uses the predicted signature or some features based on it to locate or classify the target within the image.

Techniques For Pseudo-Dc Restoration And Dynamic Range Enhancement Of Scanned Infrared Imagery

This paper defines a system for enhancement of FLIR images, The algorithms presented are directed specifically toward the restoration of scanned infrared images and contrast enhancement for visual detection of targets. Image streaking is a problem common to AC coupled infrared scanners. Although it is not possible to uniquely restore an image degraded by this process, the algorithm attempts to reconstruct the most likely thermal scene. In essence, the pseudo-DC correction term is obtained from the line-to-line difference histogram. Since infrared imagery is limited in quality by photon shot-noise, the analysis emphasizes the algorithms performance in a highly noisy environment. For display purposes, the relatively large dynamic range signal at the sensor output should be simultaneously compressed and enhanced. A technique has been developed which accomplished dynamic range transformation while attempting to preserve several image properties crucial to visual recognition of targets. The algorithm exploits the range compression and automatic gain function of a global histogram modification, but does not ignore important spatial information.