Jairo A. Castelar, Carlos A. Angulo, Carlos A. Fajardo
Subsurface images are widely used by the oil companies to find oil reservoirs. The construction of these images involves to collect and process a huge amount of seismic data. Generally, the oil companies use compression algorithms to reduce the storage and transmission costs. Currently, the compression process is developed on-site using CPU architectures, whereas the […]
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Vasco Mota, Gabriel Falcao, Michel Antunes, Joao Barreto, Urbano Nunes
SymStereo is a new algorithm used for stereo estimation. Instead of measuring photo-similarity, it proposes novel cost functions that measure symmetry for evaluating the likelihood of two pixels being a match. In this work we propose a parallel approach of the LogN matching cost variant of SymStereo capable of processing pairs of images in real-time […]
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Jingqi Ao
Lossless compression is still in high demand in medical image applications despite improvements in the computing capability and decrease in storage cost in recent years. With the development of General Purpose Graphic Processing Unit (GPGPU) computing techniques, sequential lossless image compression algorithms can be modified to achieve more efficiency and speed. Backward Coding of Wavelet […]
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Gitta Kutyniok, Wang-Q Lim, Rafael Reisenhofer
Wavelets and their associated transforms are highly efficient when approximating and analyzing one-dimensional signals. However, multivariate signals such as images or videos typically exhibit curvilinear singularities, which wavelets are provably deficient of sparsely approximating and also of analyzing in the sense of, for instance, detecting their direction. Shearlets are a directional representation system extending the […]
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Andre Kessler
We investigate compression of large-volume spatial data using the wavelet transform, computed massively in parallel on NVIDIA graphics processing units (GPUs). In particular, Haar basis wavelets are used to achieve compression ratios of [100x] or more. Computation is done over a set of computing nodes consisting of multiple nodes and multiple GPUs per node. Significantly […]
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Manas Arora, Neha Maurya
Mars Rovers are the unmanned machines on planet MARS which are send to analyze and provide details about the planet. GPU and Genetic Algorithms are upcoming technologies used in Mars Rovers for analyzing and sending the data back to the Earth base station. GPU stands for Graphics Processing Unit in which Image compression is the […]
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Zhou Haifang, Xu Rulin, Jiang Jingfei
Image registration is a crucial step of many remote sensing related applications. As the scale of data and complexity of algorithm keep growing, image registration faces great challenges of its processing speed. In recent years, the computing capacity of GPU improves greatly. Taking the benefits of using GPU to solve general propose problem, we research […]
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Bartlomiej Szczepaniak
Wavelet transform have a wide area of application in many scientific areas, for example signal processing, image compression [6] or data mining [4] [5]. Present requirements demand preforming large amount of calculations in the minimum time. For that reason the goal of this paper is to present an approach that will fulfill mentioned requirements, by […]
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Paul Rosen
We present an approach to investigate the memory behavior of a parallel kernel executing on thousands of threads simultaneously within the CUDA architecture. Our top-down approach allows for quickly identifying any significant differences between the execution of the many blocks and warps. As interesting warps are identified, we allow further investigation of memory behavior by […]
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Fernando Amat, Philipp J. Keller
Object detection and classification are key tasks in computer vision that can facilitate high-throughput image analysis of microscopy data. We present a set of local image descriptors for three-dimensional (3D) microscopy datasets inspired by the well-known Haar wavelet framework. We add orientation, illumination and scale information by assuming that the neighborhood surrounding points of interests […]
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V. Galiano, O. Lopez-Granado, M.P. Malumbres, H. Migallon
Three-dimensional wavelet transform (3D-DWT) has focused the attention of the research community, most of all in areas such as video watermarking, compression of volumetric medical data, multispectral image coding, 3D model coding and video coding. In this work, we present several strategies to speed-up the 3D-DWT computation through multicore processing. An in depth analysis about […]
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Vicente Galiano, Otoniel Lopez, Manuel P. Malumbres, Hector Migallon
Wide amount of applications like volumetric medical data compression, video watermarking and video coding use the three-dimensional wavelet transform (3D-DWT) in their algorithms. In this work, we present GPU algorithms, based on both global and shared memory, to compute the 3D-DWT transform on both the GTX280 and the GMT540 platforms. The results obtained show that […]
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