Aliasing and scintillation reduction in real-time computer graphics

Sills, Timothy G.; Williams, Owen M.

doi:10.1117/1.1768536

Cited by 8 publications

(2 citation statements)

References 5 publications

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“…Williams et al, Super Sub Sampling (SSS) 15 method showed that the most precise OpenIR implementation is to use point primitives combined with area coverage anti-aliasing. The corrected method (CSSS) holds a buffered object with zero range area and radiance values (ground truth) for zoom window correction of computed simulation values and includes dynamic sub-sampling.…”

Section: Scaling and Range Testmentioning

confidence: 99%

Real-time target motion animation for missile warning system testing

Perkins

Sundberg

Cordell³

et al. 2006

SPIE Proceedings

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The QUick Image Display (QUID) model accurately computes and displays radiance images of aircraft and other objects, generically called targets, at animation rates while the target undergoes unrestricted flight. Animation rates are obtained without sacrificing radiometric accuracy by using two important innovations. First, QUID has been implemented using the Open Scene Graph (OSG) library, an open-source, cross-platform 3-D graphics toolkit for the development of high performance graphics applications in the fields of visual simulation, virtual reality, scientific visualization and modeling. Written entirely in standard C++ and fully encapsulating OpenGL and its extensions, OSG exploits modern graphics hardware to perform the computationally intensive calculations such as hidden surface removal, 3-D transformations, and shadow casting. Second, a novel formulation for reflective/emissive terms enables rapid and accurate calculation of per-vertex radiance. The bi-directional reflectance distribution function (BRDF) is a decomposed into separable spectral and angular functions. The spectral terms can be pre-calculated for a user specified band pass and for a set of target-observer ranges. The only BRDF calculations which must be performed during target motion involves the observer-target-source angular functions. QUID supports a variety of target geometry files and is capable of rendering scenes containing high level-of-detail targets with thousands of facets. QUID generates accurate visible to LWIR radiance maps, in-band and spectral signatures. The newest features of QUID are illustrated with radiance and apparent temperature images of threat missiles as viewed by an aircraft missile warning system.

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Section: Scaling and Range Testmentioning

confidence: 99%

Real-time target motion animation for missile warning system testing

Perkins

Sundberg

Cordell³

et al. 2006

SPIE Proceedings

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“…[1][2][3][4] In a nutshell, IRSG must provide synthetic imagery containing target objects at long distances, where they subtend a small number of pixels or even subpixel areas. This highfrequency scene content, coupled with low raster ͑sam-pling͒ frequencies, leads to insufficient Nyquist frequencies, and undersampling occurs, leading to the generation of aliasing artifacts.…”

Section: Introductionmentioning

confidence: 99%

Anti-aliasing for infrared scene generation using programmable graphics and the NVIDIA Cg toolkit

Sills

2006

Opt. Eng

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Advancement in the field of computer graphics has been occurring at an unprecedented pace. It is now possible to generate nearcinematic-quality effects in real time, largely thanks to the programmability of modern graphical processing units ͑GPUs͒. However, the spatial fidelity of synthetic imagery relies on anti-aliasing techniques that have not been advanced to the same extent. Custom anti-aliasing techniques are thus required for the generation of synthetic imagery containing high spatial frequencies. In this paper modification of an existing custom antialiasing technique to employ the power of modern GPUs is described and applied to infrared scene generation. © 2006 Society of Photo-Optical Instrumentation Engineers.

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Inherent limitation of digital imagery: spatial-phase vacillations and the ambiguity function

Johnson¹,

Heidary²

2020

J. Phys. Photonics

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The spatial relationship of a scene image upon a pixilated focal-plane-array can temporally change due to scene or camera motion, microjitter of camera line-of-sight, etc. It was found that degradation caused by subpixel spatial-phase vacillations (SPV) upon the performance of matched filters was unexpectedly significant. Subpixel spatial-phase vacillations can cause degradations in matched filter performance to detect desired objects and discriminate other objects. SPV appear to be an inherent limitation of digital imagery when processed using matched filter methodology and can negatively impact the performance of systems. Mitigation of this degradation was found to be possible by utilizing one of several matched filter constructions such as a multi-filter enhanced matched filter (EMF) bank and a single-filter EMF. A significant conclusion of this investigation is that, for automatic target recognition applications, improved overall task performance should be realized by the use of an EMF bank. Dramatic reduction in computational resources for image matching multispectral imagery was accomplished by spectrally-collapsing multispectral imagery to form pseudoimages with the spectral information appearing as a texture in a grayscale image. The pattern recognition ambiguity function, which sets the fundamental performance limit of an image processing system, is introduced.

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Aliasing and scintillation reduction in real-time computer graphics

Cited by 8 publications

References 5 publications

Real-time target motion animation for missile warning system testing

Real-time target motion animation for missile warning system testing

Anti-aliasing for infrared scene generation using programmable graphics and the NVIDIA Cg toolkit

Inherent limitation of digital imagery: spatial-phase vacillations and the ambiguity function

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