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  • Mathematics  (3)
  • 1
    Online Resource
    Online Resource
    Parallel multi‐level 2D‐DWT on CUDA GPUs and its application in ring artifact removal
    Wiley ; 2015
    In:  Concurrency and Computation: Practice and Experience Vol. 27, No. 17 ( 2015-12-10), p. 5188-5202
    Details
    In: Concurrency and Computation: Practice and Experience, Wiley, Vol. 27, No. 17 ( 2015-12-10), p. 5188-5202
    Abstract: This paper presented two schemes of parallel 2D discrete wavelet transform (DWT) on Compute Unified Device Architecture graphics processing units. For the first scheme, the image and filter are transformed to spectral domain by using Fast Fourier Transformation (FFT), multiplied and then transformed back to space domain by using inverse FFT. For the second scheme, the image pixels are convolved directly with filters. Because there is no data relevance, the convolution for data points on different positions could be executed concurrently. To reduce data transfer, the boundary extension and down‐sampling are processed during data loading stage, and transposing is completed implicitly during data storage. A similar skill is adopted when parallelizing inverse 2D DWT. To further speed up the data access, the filter coefficients are stored in the constant memory. We have parallelized the 2D DWT for dozens of wavelet types and achieved a speedup factor of over 380 times compared with that of its CPU version. We applied the parallel 2D DWT in a ring artifact removal procedure; the executing speed was accelerated near 200 times compared with its CPU version. The experimental results showed that the proposed parallel 2D DWT on graphics processing units can significantly improve the performance for a wide variety of wavelet types and is promising for various applications. Copyright © 2015 John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 1532-0626 , 1532-0634
    URL: Issue
    URL: Article
    DOI: 10.1002/cpe.v27.17
    DOI: 10.1002/cpe.3559
    RVK:
    SA 4270
    Language: English
    Publisher: Wiley
    Publication Date: 2015
    detail.hit.zdb_id: 2052606-4
    SSG: 11
    Location Call Number Limitation Availability
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    Online Resource
  • 2
    Online Resource
    Online Resource
    An improved method for the removal of ring artifacts in synchrotron radiation images by using GPGPU computing with compute unified device architecture
    Wiley ; 2014
    In:  Concurrency and Computation: Practice and Experience Vol. 26, No. 18 ( 2014-12-25), p. 2880-2892
    Details
    In: Concurrency and Computation: Practice and Experience, Wiley, Vol. 26, No. 18 ( 2014-12-25), p. 2880-2892
    Abstract: Ring artifacts are a common problem in computed tomography, positron emission tomography, magnetic resonance imaging, and synchrotron radiation images. Before further processing the images such as segmentation and quantification, these artifacts have to be removed or suppressed. Otherwise, they may introduce additional errors for the segmentation and subsequent analysis. This paper proposes an improved ring artifact removal method based on biorthogonal wavelet transform, one‐dimensional fast Fourier transform, and Gaussian damping, which is implemented on general‐purpose computing on graphics processing unit with compute unified device architecture. The experimental results show that the proposed algorithms can be speed up several hundred times compared with the previous algorithms on CPU. The significant performance improvement makes the algorithms much more practical in processing large volume of images in real time. Copyright © 2013 John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 1532-0626 , 1532-0634
    URL: Issue
    URL: Article
    DOI: 10.1002/cpe.v26.18
    DOI: 10.1002/cpe.3183
    RVK:
    SA 4270
    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 2052606-4
    SSG: 11
    Location Call Number Limitation Availability
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Generic Adaptive Scheduling for Efficient Context Inconsistency Detection
    Institute of Electrical and Electronics Engineers (IEEE) ; 2021
    In:  IEEE Transactions on Software Engineering Vol. 47, No. 3 ( 2021-3-1), p. 464-497
    Details
    In: IEEE Transactions on Software Engineering, Institute of Electrical and Electronics Engineers (IEEE), Vol. 47, No. 3 ( 2021-3-1), p. 464-497
    Type of Medium: Online Resource
    ISSN: 0098-5589 , 1939-3520 , 2326-3881
    URL: Journal
    URL: Article
    DOI: 10.1109/TSE.32
    DOI: 10.1109/TSE.2019.2898976
    RVK:
    SQ 1100
    RVK:
    SA 5600
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2021
    detail.hit.zdb_id: 189642-8
    detail.hit.zdb_id: 2026617-0
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