Paper
1 September 2010 Graphics processing unit restoration of non-uniformly warped images using a typical frame as prototype
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Abstract
When imaging through the atmosphere, the resulting image contains not only the desired scene, but also the adverse effects of all the turbulent air mass between the camera and the scene. These effects are viewed as a combination of nonuniform blurring and random shifting of each point in the received short-exposure image. Corrections for both aspects of this combined distortion have been tackled reasonably successfully by previous efforts. We presented in an earlier paper a more robust method of restoring the geometry by redefining the place of the prototype frame and by reducing the adverse effect of averaging in the processing sequence. We present here a variant of this method using a Minimum Sum of Squared Differences (MSSD) cross-correlation registration algorithm implemented on a Graphics Processing Unit (GPU). The raw speed-up achieved using GPU code is in the order of x1000. Two orders of magnitude speed-up on the complete algorithm will allow for better fine tuning of this method and for experimentation with various registration algorithms.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Murat Tahtali, Andrew J. Lambert, and Donald Fraser "Graphics processing unit restoration of non-uniformly warped images using a typical frame as prototype", Proc. SPIE 7800, Image Reconstruction from Incomplete Data VI, 78000H (1 September 2010); https://doi.org/10.1117/12.860375
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CITATIONS
Cited by 12 scholarly publications.
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KEYWORDS
Image registration

Prototyping

Video

Graphics processing units

MATLAB

Video acceleration

Cameras

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