Mr. Greggory G. Swiathy Profile

Greggory G. Swiathy

at DGA Techniques Aérontuqiues

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Publications (3)

Proceedings Article | 20 September 2020 Presentation + Paper

Multi-level fractal test target: corner-point criterion for evaluating visible and digital fusion imagers

Stéphane Landeau, Greggory Swiathy

Proceedings Volume 11537, 115370C (2020) https://doi.org/10.1117/12.2573995

KEYWORDS: Fractal analysis, Imaging systems, Image fusion, Cameras, Binary data, Optoelectronics, Digital imaging, Systems modeling, Weapons, Image registration

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Proceedings Article | 6 October 2017 Presentation + Paper

Corner-point criterion for assessing nonlinear image processing imagers

Stéphane Landeau, Laurent Pigois, Jean-Paul Foing, Gilles Deshors, Greggory Swiathy

Proceedings Volume 10433, 1043313 (2017) https://doi.org/10.1117/12.2278592

KEYWORDS: Imaging systems, Image processing, Signal detection, Performance modeling, Optoelectronics, Signal processing, Modeling, Systems modeling, Nonlinear image processing, Super resolution

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Range performance modeling of optronics imagers attempts to characterize the ability to resolve details in the image. Today, digital image processing is systematically used in conjunction with the optoelectronic system to correct its defects or to exploit tiny detection signals to increase performance. In order to characterize these processing having adaptive and non-linear properties, it becomes necessary to stimulate the imagers with test patterns whose properties are similar to the actual scene image ones, in terms of dynamic range, contours, texture and singular points. This paper presents an approach based on a Corner-Point (CP) resolution criterion, derived from the Probability of Correct Resolution (PCR) of binary fractal patterns. The fundamental principle lies in the respectful perception of the CP direction of one pixel minority value among the majority value of a 2×2 pixels block. The evaluation procedure considers the actual image as its multi-resolution CP transformation, taking the role of Ground Truth (GT). After a spatial registration between the degraded image and the original one, the degradation is statistically measured by comparing the GT with the degraded image CP transformation, in terms of localized PCR at the region of interest. The paper defines this CP criterion and presents the developed evaluation techniques, such as the measurement of the number of CP resolved on the target, the transformation CP and its inverse transform that make it possible to reconstruct an image of the perceived CPs. Then, this criterion is compared with the standard Johnson criterion, in the case of a linear blur and noise degradation. The evaluation of an imaging system integrating an image display and a visual perception is considered, by proposing an analysis scheme combining two methods: a CP measurement for the highly non-linear part (imaging) with real signature test target and conventional methods for the more linear part (displaying). The application to color imaging is proposed, with a discussion about the choice of the working color space depending on the type of image enhancement processing used.

Proceedings Article | 21 October 2005 Paper

Lidar and satellite measurements for the cloud database SALIC

Greggory Swiathy, Olga Lado-Bordowsky, Yvonick Hurtaud

Proceedings Volume 5988, 59880O (2005) https://doi.org/10.1117/12.631279

KEYWORDS: Clouds, LIDAR, Satellites, Databases, Temperature metrology, Atmospheric particles, Backscatter, Radiometry, Mass attenuation coefficient, Aerosols

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