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In this paper we evaluate the potential for using an NVIDIA graphics processing unit (GPU) to accelerate high precision integer multiplication. The reported peak vector performance for a typical GPU appears to offer considerable potential for accelerating such a regular computation. Because of limitations in the on-chip memory, the high cost of kernel launches, and the particular nature of the architecture's...
Blob-based iterative image reconstruction techniques provide high-quality denoised images in the photon starving emission tomography. However, the attractiveness of blob-based iterative algorithms is devalued by their high demands on the computation time. In this study we investigate the use of graphic processing units (GPU) to parallelize the ray-driven blob-based OSEM reconstruction algorithm for...
Many applications in image processing have high inherent parallelism. FPGAs have shown very high performance in spite of their low operational frequency by fully extracting the parallelism. In recent micro processors, it also becomes possible to utilize the parallelism using multi-cores which support improved SIMD instructions, though programmers have to use them explicitly to achieve high performance...
In this paper, we present a comparison study about implementations of phase correlation function using GPUs, ASIC and FPGAs. The Phase Only Correlation(POC) method demonstrates high robustness and subpixel accuracy in the pattern matching and the image registration. However, there is a disadvantage in computational speed because of the calculation of 2D-FFT etc. We have proposed a novel approach to...
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