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A virtualized software based on the NVIDIA cuFFT library for image denoising: performance analysis

Ardelio Galletti, Livia Marcellino, Raffaele Montella, Vincenzo Santopietro, Sokol Kosta
2017 Procedia Computer Science  
Here we present a denoising algorithm, based on a frequency domain convolution leveraging the CUDA environment, which exploits the computational power of the NVIDIA cuFFT library 1 .  ...  NVIDIA-CUDA Fast Fourier Transform (cuFFT) library provides a simple interface for computing parallel FFTs on an NVIDIA GPU environment.  ... 
doi:10.1016/j.procs.2017.08.310 fatcat:m65soowgnzdsxldhgz3qb6ntca

GPGPU-based Gaussian Filtering for Surface Metrological Data Processing

Yang Su, Zhijie Xu, Xiangqian Jiang
2008 2008 12th International Conference Information Visualisation  
Considering the evolution of GPU's hardware architecture, the proposed frameworks cover through the transition of graphics-originated concepts for GPGPU programming based on legacy GPUs and the abstraction  ...  He was willing to take a chance on my research from the beginning, and has always pushed me to fill in that one last detail to elevate the level of my thinking and my work.  ...  Based on the product release announcements made by the Nvidia, CUDA provides the CUFFT library as a convenient interface for program developers.  ... 
doi:10.1109/iv.2008.14 dblp:conf/iv/SuXJ08 fatcat:lpagxjxstjbj5lcdumztlpgolu

Non-rigid Registration for Large Sets of Microscopic Images on Graphics Processors

Antonio Ruiz, Manuel Ujaldon, Lee Cooper, Kun Huang
2008 Journal of Signal Processing Systems  
However, the large size of image datasets proves to be a challenge for automatic registration.  ...  Large sets of microscopic images are usually required for 3D reconstruction and visualization of tissue structure. Registration is essential for the 3D reconstruction from the stack of images.  ...  Gustavo Leone from the Ohio State University Cancer Center for providing us the images from mouse placenta and mouse mammary gland we used during the experiments outlined in this paper.  ... 
doi:10.1007/s11265-008-0208-4 pmid:25328635 pmcid:PMC4198069 fatcat:kcwzubt6trdeleh4vq44jf36hy

Fast $\ell_1$-SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime

M. Murphy, M. Alley, J. Demmel, K. Keutzer, S. Vasanawala, M. Lustig
2012 IEEE Transactions on Medical Imaging  
The performance of these alternatives depends on the processor architecture, the size of the image matrix, and the number of parallel imaging channels.  ...  We present parallelizations of l₁-SPIRiT for both multi-GPU systems and multi-core CPUs, and discuss the software optimization and parallelization decisions made in our implementation.  ...  Parallel imaging [31, 29, 14] is a well-established acceleration technique based on the spatial sensitivity of array receivers.  ... 
doi:10.1109/tmi.2012.2188039 pmid:22345529 pmcid:PMC3522122 fatcat:w73a3qlimnehth3qph4fxmpbzu

Densely-Sampled Light Field Reconstruction [chapter]

Suren Vagharshakyan, Robert Bregovic, Atanas Gotchev
2020 Lecture Notes in Computer Science  
This long journey started with moving to Finland in early 2012 having applied for a Ph.D. position at the suggestion of Aram Danielyan, so he is the main culprit for my being in Finland.  ...  PREFACE This thesis is the result of six years spent as a doctoral student with the Faculty of Information Technology and Communication Sciences of Tampere University, formerly Tampere University of Technology  ...  agreement 32449 and from the Academy of Finland, grant No. 137012: High-Resolution Digital Holography: A Modern Signal Processing Approach.  ... 
doi:10.1007/978-3-030-41816-8_3 fatcat:xf3snnd7gzaqxhkazfybwmchna

Multi-scale Methods for Omnidirectional Stereo with Application to Real-time Virtual Walkthroughs

Alan P Brunton, Université D'Ottawa / University Of Ottawa, Université D'Ottawa / University Of Ottawa
Our stereo reconstruction algorithm is based on a novel application of distance transforms to multi-scale matching.  ...  For example, multi-scale features can be detected in spherical images by convolving those images with a filterbank, generating an overcomplete spherical wavelet representation of the image from which the  ...  We can compute these using the Fast Fourier Transform (FFT) implemented in the cuFFT library, which allows one to run a batch of one-dimensional FFTs in parallel.  ... 
doi:10.20381/ruor-6236 fatcat:bkk2gerehnh7zgzq7k4uknsueu