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Aditya Deshpande
In earlier times, computer systems had only a single core or processor. In these computers, the number of transistors on-chip (i.e. on the processor) doubled every two years and all applications enjoyed free speedup. Subsequently, with more and more transistors being packed on-chip, power consumption became an issue, frequency scaling reached its limits and industry […]
Aditya Deshpande, P J Narayanan
In this paper, we present an all-core implementation of Burrows Wheeler Compression algorithm that exploits all computing resources on a system. Our focus is to provide significant benefit to everyday users on common end-to-end applications by exploiting the parallelism of multiple CPU cores and many-core GPU on their machines. The all-core framework is suitable for […]
Ashis Kumar Dash
GPU based on CUDA Architecture developed by NVIDIA is a high performance computing device. Multiplication of matrices of large order can be computed in few seconds using GPU based on CUDA Architecture. A modern GPU consists of 16 highly threaded streaming multiprocessors (SMs). GPU named Fermi consists of 32 SMs. These are computing intensive devices. […]
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Jinglin Zhang, Jean-Francois Nezan, Jean-Gabriel Cousin
Heterogeneous computing system increases the performance of parallel computing in many domain of general purpose computing with CPU, GPU and other accelerators. With Hardware developments, the software developments like Compute Unified Device Architecture(CUDA) and Open Computing Language (OpenCL) try to offer a simple and visualized tool for parallel computing. But it turn out to be […]
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Kristian Bredies, Martin Holler
We propose a new model for the improved reconstruction and zooming of JPEG (Joint Photographic Experts Group) images. In the reconstruction process, given a JPEG compressed image, our method first determines the set of possible source images and then specifically chooses one of these source images satisfying additional regularity properties. This is realized by employing […]
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Jukka Antikainen
This thesis describes typical spectral imaging techniques and spectral image analysis algorithms that are in general use. Three developed spectral imaging systems are proposed. The first imaging system consists of two line scanning based spectral cameras. These cameras are combined in one simultaneous measuring process, which can be used for capturing a wide range of […]
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Kristian Bredies, Martin Holler
We propose a new model for the improved reconstruction of JPEG (Joint Photographic Experts Group) images. Given a JPEG compressed image, our method first determines the set of possible source images and then specifically chooses one of these source images satisfying additional regularity properties. This is realized by employing the recently introduced Total Generalized Variation […]
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Jim Braux-Zin
State of the art Structure from Motion algorithms can produce a real-time sparse 3d map of the environment, in a fast, robust and efficient way. However, dense 3d maps would be very useful for accurate Augmented Reality with occlusion management. This project focus on generating accurate dense depth-maps in near real-time from the data provided […]
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Janusz Bedkowski, Andrzej Maslowski
The main problem of the following paper is control and supervision of web connected mobile robots. Taking up this subject is justified by the need of developing new methods for control, supervision and integration of exis-ting modules (inspection robots, autonomous robots, mo-bile base station). The methodology consists of: multi ro-botic system structure, cognitive model of […]
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Binay Kumar Pandey, Rajdeep Niyogi, Ankush Mittal
In present time weighted suffix tree is consider as a one of the most important existing data structure used for analyzing molecular weighted sequence. Although a static partitioning based parallel algorithm existed for the construction of weighted suffix tree, but for very long weighted DNA sequences it takes significant amount of time. However, in our […]
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Wang Zheng-ning, Liu Changzhong, Lu Yu, Wu Min, Zhang Ping
The MSR (Multi-Scale Retinex) image enhancement algorithm can produce best performance in most cases, but the computation load is very huge especially for large image. In this paper, an efficient approach is proposed to accelerate MSR image enhancement speed on GPU via CUDA (Compute Unified Device Architecture). Time consuming modules such as multi-scale Gaussian filter, […]
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Ying Zhang
Our project starts from a practical specific application of stereo vision (matching) on a robot arm, which is first building up a vision system for a robot arm to make it obtain the capability of detecting the objects 3D information on a plane. The kernel of the vision system is stereo matching. Stereo matching(correspondence) problem […]
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