Alain Bergeron

Phase calibration and applications of a liquid-crystal spatial light modulator

A simple phase-characterization method for spatial light modulators is proposed. The low-cost method permits high-precision measurement and provides data for the setting of the spatial-light-modulator operating point in the phase-modulation mode. The dynamic phase response is used to perform efficient kinoform recording. In order to record the kinoform, we modify the global iterative coding to compute phase holograms. Finally, modified phase-phase correlation is introduced. The phase-phase correlator permits sharper correlation peaks, better energy transmission, and higher discrimination than an amplitude-phase correlation. Optical experimental results are presented.

Optical SAR processor for space applications

Synthetic Aperture Radar (SAR) systems typically generate copious amounts of data in the form of complex values difficult to compress. Processing this data provides real-valued images that are easier to compress, however comprehensive processing capabilities are required. Optical processor architectures provide inherent parallel computing capabilities that could be used advantageously for SAR data processing. Onboard SAR image generation would provide local access to processed information paving the way for real-time decisions. This could also provide benefits to navigation strategy or automatic instruments orientation. Moreover, for interplanetary missions or unmanned aerial vehicles (UAVs), onboard analysis of images could provide important feature identification clues and could help select the appropriate images to be transmitted to the ground (Earth). This would reduce the data throughput requirements and the related transmission bandwidth. This paper reviews the preliminary work performed for the analysis of SAR image generation using an optical processor and describes the set-up of an optical SAR processor prototype. Results of optical reconstruction of SAR signals acquired with a state-of-the-art SAR satellite are presented. Real-time processing capabilities and dynamic range calculations for a tracking optical processor architecture are also discussed.

OPTOELECTRONIC THRESHOLDING MODULE FOR WINNER-TAKE-ALL OPERATIONS IN OPTICAL NEURAL NETWORKS

A simple optoelectronic architecture for carrying out optical thresholding operations is proposed. The architecture is suitable for optical neural network implementations and for image processing. The module is based on liquid-crystal television, on a CCD camera, and on beam-sampling optical components. The module does not need an additional light source, shows translation invariance, and does not break the beam propagation path. Experimental results involving images and correlations are presented. Finally, an architecture for an automatic winner-take-all extractor for neural network architectures is proposed.

Resolution capability comparison of infrared and terahertz imagers

Infrared and terahertz are two imaging technologies that differ fundamentally in numerous aspects. Infrared imaging is an efficient passive technology whereas terahertz technology is an active technology requiring some kind of illumination to be efficient. Whats more, the detectors are also different and yield differences in the fundamental physics when integrated in a complete system. One of these differences lies in the size of the detectors. Infrared detectors are typically larger than the infrared wavelengths whereas terahertz detectors are typically smaller than the wavelength of illumination. This results in different constraints when designing these systems, constraints that are imposed by the resolution capabilities of the system. In the past INO has developed an infrared imaging camera core of 1024×768 pixels and tested some microscanning devices to improve its sampling frequency and ultimately its resolution. INO has also engineered detectors and camera cores specifically designed for active terahertz imaging with smaller dimensions (160×120 pixels). In this paper the evaluation of the resolution capabilities of a terahertz imager at the pixel level is performed. The resolution capabilities for the THz are evaluated in the sub-wavelength range, which is not actually possible in the infrared wavebands. Based on this evaluation, the comparison between the resolution limits of infrared detectors and the terahertz detectors at the pixel level is performed highlighting the differences between the wavebands and their impact on system design.

Video-rate THz imaging using a microbolometer-based camera

A THz 160×120 pixel array camera has been developed at INO. Real-time transmission and reflectance imaging at video rates of 30 frames/s were performed with a low-power 3 THz quantum cascade laser. Various hidden objects were imaged, proving feasibility of real-time THz imaging for security screening applications.

Microbolometer Detector Array for Satellite-Based Thermal Infrared Imaging

An infrared imaging array based on micromachined bolometric detectors is under development. The array is designed to meet the requirements of satellite-based infrared imaging and detection applications, including cloud and earth surface temperature monitoring and forest fire monitoring. Its design makes it also suitable for terrestrial spectrometric and moderate speed imaging applications. The array consists of three parallel lines of 512 pixels on a 39 µm pitch. Each pixel includes both active and reference detectors to reduce pixel to pixel offset variation, eliminate common mode bias noise, and provide increased immunity to die temperature drift. The thin films making up the active detector structure are designed to provide high and uniform infrared absorption between 8.3 and 13 µm. The pixels are fabricated monolithically over a custom CMOS readout integrated circuit (ROIC) using a surface micromachined post-processing approach. The advanced ROIC integrates the signals of all pixels in parallel using switched capacitor correlated double sampling integrators and performs on-chip analog to digital conversion. Despite the small pixel size the projected thermal resolution over the 8-12 µm spectral band for f/1 optics is below 50 mK. In this paper we will describe the detector array design and present preliminary test results.

Introducing a 384x288 pixel terahertz camera core

Terahertz is a field in expansion with the emergence of various security needs such as parcel inspection and through-camouflage vision. Terahertz wavebands are characterized by long wavelengths compared to the traditional infrared and visible spectra. However, it has recently been demonstrated that a 52 μm pixel pitch microscanned down to an efficient sampling pitch of 26 μm could provide useful information even using a 118.83 μm wavelength. With this in mind, INO has developed a terahertz camera core based on a 384x288 pixel 35 μm pixel pitch uncooled bolometric terahertz detector. The camera core provides full 16-bit output video rate.

Introducing sub-wavelength pixel THz camera for the understanding of close pixel-to-wavelength imaging challenges

Conventional guidelines and approximations useful in macro-scale system design can become invalidated when applied to the smaller scales. An illustration of this is when camera pixel size becomes smaller than the diffraction-limited resolution of the incident light. It is sometimes believed that there is no benefit in having a pixel width smaller than the resolving limit defined by the Raleigh criterion, 1.22 λ F/#. Though this rarely occurs in todays imaging technology, terahertz (THz) imaging is one emerging area where the pixel dimensions can be made smaller than the imaging wavelength. With terahertz camera technology, we are able to achieve sub-wavelength pixel sampling pitch, and therefore capable of directly measuring if there are image quality benefits to be derived from sub-wavelength sampling. Interest in terahertz imaging is high due to potential uses in security applications because of the greater penetration depth of terahertz radiation compared to the infrared and the visible. This paper discusses the modification by INO of its infrared MEMS microbolometer detector technology toward a THz imaging platform yielding a sub-wavelength pixel THz camera. Images obtained with this camera are reviewed in this paper. Measurements were also obtained using microscanning to increase sampling resolution. Parameters such as imaging resolution and sampling are addressed. A comparison is also made with results obtained with an 8-12 μm band camera having a pixel pitch close to the diffractionlimit.

Development of MEMS microbolometer detector for THz applications

INO has been actively working on extending its microbolometer technology to THz applications. Several techniques have been developed recently to improve the performance of the microbolometer. This article will present these techniques and discuss some potential applications of INO THz microbolometer.

Flexible 640 x 480 pixel infrared camera module for fast prototyping

In various military, space and civilian infrared-based applications, there is an important need for fast prototyping. At the very heart, stands a requirement for flexible camera modules that provides a multitude of output formats as well as fast adaptability. Based on this concept, INO has developed an advanced compact camera module that can provide both raw data output as well as fully processed images under a variety of formats such as NTSC, PAL, VGA and GigE. This tool can be used to perform a rapid demonstration of an application concept. The IRXCam-640 camera core is a very flexible module that is based on a 640 x 480 pixels uncooled FPA but which may be rapidly modified to accommodate for other resolutions and sensor types. Providing 16-bit raw signal and 8-bit final image outputs at 60 Hz, the electronics gives total access to the detector configuration parameters. The output is available in NTSC, PAL, and GigE. An additional VGA output can be used as input for a microdisplay. TECless operation minimizes module size and power consumption. If required for absolute measurements, a TEC integrated to the detector package can be controlled with external electronics. The camera core can be configured for outdoors operation from -30°C to +60°C with 200°C scene dynamic range at maximum sensitivity. Windowing capability provides flexibility of frame frequency and operating field of view. The camera can be further coupled with a microscan mechanism to provide a high resolution 1280 x 960 pixel image. In this paper, the camera module is reviewed as well as its performances.