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- W15787189 abstract "This paper presents a parallelized implementation of the Local Polynomial Approximation algorithm targetted at CUDA-enabled GPU hardware. Although the application area of LPA in the image processing domain is very wide, here the focus is put on magnetic resonance image de-noising. In this case, LPA serves as a pre-processing step in the method based on Shape-Adaptive Discrete Cosine Transform. It is shown, how the designed efficient implementation of LPA substantially reduces the execution time of SA-DCT." @default.
- W15787189 created "2016-06-24" @default.
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- W15787189 date "2013-01-01" @default.
- W15787189 modified "2023-09-27" @default.
- W15787189 title "A GPU Accelerated Local Polynomial Approximation Algorithm for Efficient Denoising of MR Images" @default.
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- W15787189 doi "https://doi.org/10.1007/978-3-319-00969-8_41" @default.
- W15787189 hasPublicationYear "2013" @default.
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