Tiled-Block Image Reconstruction by Wavelet-Based, Parallel Filtered Back-Projection

Jorge Guevara Escobedo; Krikor Ozanyan

doi:10.1109/JSEN.2016.2546182

Tiled-Block Image Reconstruction by Wavelet-Based, Parallel Filtered Back-Projection

Jorge Guevara Escobedo, Krikor Ozanyan

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Abstract

We demonstrate an algorithm, relevant to tomography sensor systems, to obtain images from the parallel reconstruction of essentially localized elements at different scales. This is achieved by combining methodology to reconstruct images from limited and/or truncated data, with the time-frequency capabilities of the wavelet transform. Multiscale, as well as time-frequency, localization properties of the separable two-dimensional wavelet transform are exploited as an approach for faster reconstruction. The speedup is realized not only by reducing the computation load on a single processor, but also by achieving the parallel reconstruction of several tiled blocks. With tiled-block image reconstruction by wavelet-based, parallel filtered back-projection (FBP), we measure more than 36 times gain in speed, compared with standard FBP.

Original language	English
Pages (from-to)	4839-4846
Number of pages	8
Journal	IEEE Sensors Journal
Volume	16
Issue number	12
Early online date	23 Mar 2016
DOIs	https://doi.org/10.1109/JSEN.2016.2546182
Publication status	Published - 15 Jun 2016

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title = "Tiled-Block Image Reconstruction by Wavelet-Based, Parallel Filtered Back-Projection",

abstract = "We demonstrate an algorithm, relevant to tomography sensor systems, to obtain images from the parallel reconstruction of essentially localized elements at different scales. This is achieved by combining methodology to reconstruct images from limited and/or truncated data, with the time-frequency capabilities of the wavelet transform. Multiscale, as well as time-frequency, localization properties of the separable two-dimensional wavelet transform are exploited as an approach for faster reconstruction. The speedup is realized not only by reducing the computation load on a single processor, but also by achieving the parallel reconstruction of several tiled blocks. With tiled-block image reconstruction by wavelet-based, parallel filtered back-projection (FBP), we measure more than 36 times gain in speed, compared with standard FBP.",

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AU - Guevara Escobedo, Jorge

AU - Ozanyan, Krikor

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N2 - We demonstrate an algorithm, relevant to tomography sensor systems, to obtain images from the parallel reconstruction of essentially localized elements at different scales. This is achieved by combining methodology to reconstruct images from limited and/or truncated data, with the time-frequency capabilities of the wavelet transform. Multiscale, as well as time-frequency, localization properties of the separable two-dimensional wavelet transform are exploited as an approach for faster reconstruction. The speedup is realized not only by reducing the computation load on a single processor, but also by achieving the parallel reconstruction of several tiled blocks. With tiled-block image reconstruction by wavelet-based, parallel filtered back-projection (FBP), we measure more than 36 times gain in speed, compared with standard FBP.

AB - We demonstrate an algorithm, relevant to tomography sensor systems, to obtain images from the parallel reconstruction of essentially localized elements at different scales. This is achieved by combining methodology to reconstruct images from limited and/or truncated data, with the time-frequency capabilities of the wavelet transform. Multiscale, as well as time-frequency, localization properties of the separable two-dimensional wavelet transform are exploited as an approach for faster reconstruction. The speedup is realized not only by reducing the computation load on a single processor, but also by achieving the parallel reconstruction of several tiled blocks. With tiled-block image reconstruction by wavelet-based, parallel filtered back-projection (FBP), we measure more than 36 times gain in speed, compared with standard FBP.

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JO - IEEE Sensors Journal

JF - IEEE Sensors Journal

IS - 12

ER -

Tiled-Block Image Reconstruction by Wavelet-Based, Parallel Filtered Back-Projection

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