Dictionary learning algorithm facilitates a sparse representation of a given set of training signals, which has significant impact on signal reconstruction error in compressive sensing. To reduce the recovery error ca...
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ISBN:
(纸本)9781509007691
Dictionary learning algorithm facilitates a sparse representation of a given set of training signals, which has significant impact on signal reconstruction error in compressive sensing. To reduce the recovery error caused by environmental noise, in this paper, a novel structured dictionary learning method for sparse signal representation is presented. The training signals are collected from compressive data gathering methods. And the self-coherence of the dictionary is punished. In comparison with the DCT basis and the K-SVD method, experimental results verify that the proposed dictionary is more effective to alleviate the recovery error caused by environmental noise.
Discrete Cosine Transform (DCT) has been the commonly used transform for a few decades in image/video coding. However, DCT does not work well on the blocks having anisotropic correlations. In this paper, based on the ...
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ISBN:
(纸本)9781479953424
Discrete Cosine Transform (DCT) has been the commonly used transform for a few decades in image/video coding. However, DCT does not work well on the blocks having anisotropic correlations. In this paper, based on the adaptive dictionary, we propose a new online transform scheme using Orthogonal Matching Pursuit (OMP) for High Efficiency Video Coding (HEVC). For a coding block, we construct its dictionary by exploiting non-local correlations from the reconstructed regions. The OMP algorithm is implemented to obtain the sparse transform coefficients. Experimental results show that the BD-rate savings of the proposed scheme for the sequences with strong edges can be up to 19.9%.
In this paper, we have applied and discussed the frequency - wavenumber migration, synthetic aperture radar algorithm and conventional delay and sum beamforming for through the wall imaging radar signals with high per...
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ISBN:
(纸本)9781509010516
In this paper, we have applied and discussed the frequency - wavenumber migration, synthetic aperture radar algorithm and conventional delay and sum beamforming for through the wall imaging radar signals with high performance of target detection. After we obtained the beam domain data, we also applied MUSIC algorithm that is one of the subspace methods. In test measurements, we used ultra-wide band a step frequency continuous wave based radar and impulse ground penetrating radar system to collect A-scan data. In order to distinguish the concealed targets, A-scan data was demonstrated in B-scan image.
Evolution cause the increase in use of Digital systems and Multimedia which increased the demand for safety of digital multimedia. Thus, there is need of watermarking. Watermark gives the mechanism to determine if a p...
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ISBN:
(纸本)9781467394178
Evolution cause the increase in use of Digital systems and Multimedia which increased the demand for safety of digital multimedia. Thus, there is need of watermarking. Watermark gives the mechanism to determine if a particular digital media has been copied or not. Here In this paper we present an algorithm for embedding an audio in image based on wavelet transform.
Rotational symmetry is important for many applications in computer graphics, vision, and imageprocessing. However, it remains difficult to design an effective algorithm for automatic symmetry recognition. In this pap...
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Rotational symmetry is important for many applications in computer graphics, vision, and imageprocessing. However, it remains difficult to design an effective algorithm for automatic symmetry recognition. In this paper, we present a rotational symmetry detection algorithm, which is easy to use and can determine both the center and the radius of the rotational symmetry supporting region without human interaction. Our algorithm is derived from frieze-expansions approach and improved through a radius-based expansion idea. Multiresolution pyramid is used to accelerate this detection process. We also discuss a solution to deal with rotational symmetry detection under slight affine transformation. Experimental results show that the method is effective for most nature images with rotational symmetry.
It is a trend now that computing power through parallelism is provided by multi-core systems or heterogeneous architectures for High Performance Computing (HPC) and scientific computing. Although many algorithms have ...
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ISBN:
(纸本)9781509052530
It is a trend now that computing power through parallelism is provided by multi-core systems or heterogeneous architectures for High Performance Computing (HPC) and scientific computing. Although many algorithms have been proposed and implemented using sequential computing, alternative parallel solutions provide more suitable and high performance solutions to the same problems. In this paper, three parallelization strategies are proposed and implemented for a dynamic programming based cloud smoothing application, using both shared memory and non-shared memory approaches. The experiments are performed on NVIDIA GeForce GT750m and Tesla K20m, two GPU accelerators of Kepler architecture. Detailed performance analysis is presented on partition granularity at block and thread levels, memory access efficiency and computational complexity. The evaluations described show high approximation of results with high efficiency in the parallel implementations, and these strategies can be adopted in similar data analysis and processing applications.
A reconfigurable computing architecture based on Field Programmable Gate Array (FPGA) technology is implemented for the Electrical Capacitance Tomography (ECT) system. The ECT system is used to image the multi-phase f...
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A reconfigurable computing architecture based on Field Programmable Gate Array (FPGA) technology is implemented for the Electrical Capacitance Tomography (ECT) system. The ECT system is used to image the multi-phase flow when gas/liquid or solid/liquid phases occurs. In the ECT systems, an exhaustive computational image reconstruction algorithm has to vastly processed large amount of data. The software algorithms and hardware parameters are adjusted based on a Hardware-software codesign process using commercially available tools. The hardware system consists of capacitive sensors, wireless nodes and FPGA module. Rr4wesults show that implementing the ECT image reconstruction algorithm on the FPGA platform achives fast performance and small design density.
In this paper, it is shown that the Enhanced Unified Camera Model, which is used to model fisheye cameras, projects straight lines into conic sections. Then a way to find equations of straight line projections is prop...
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ISBN:
(纸本)9781509035502
In this paper, it is shown that the Enhanced Unified Camera Model, which is used to model fisheye cameras, projects straight lines into conic sections. Then a way to find equations of straight line projections is proposed. The method is applied to epipolar curves to adapt the Semi-Global Matching algorithm to fisheye stereo systems to compute a dense direct stereo correspondence without undistortion and rectification of fisheye images. It is done by efficient image sampling along an epipolar curve, using an algorithm for rasterization of implicit curves. A C++ implementation is available online.
Early forest fire alarm systems are critical in making prompt response in the event of unexpected *** cameras,improvements in memory,and enhanced computation power have all enabled the design and real-time application...
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ISBN:
(纸本)9781467383196
Early forest fire alarm systems are critical in making prompt response in the event of unexpected *** cameras,improvements in memory,and enhanced computation power have all enabled the design and real-time application of fire detecting algorithms using light and smallsize embedded surveillance *** is vital in situations where the performance of traditional forest fire monitoring and detection techniques are *** paper presents a forest fire monitoring and detection method with visual sensors onboard unmanned aerial vehicle(UAV).Both color and motion features of fire are adopted for the design of the studied forest fire detection *** is for the purpose of improving fire detection performance,while reducing false alarm *** experiments are conducted to demonstrate the effectiveness of the studied forest fire detection methodologies.
The bipartite graph matching problem is based on finding a point that maximizes the chances of similarity with another one, and it is explored in several areas such as Bioinformatics and Computer Vision. To solve that...
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ISBN:
(纸本)9781509048458
The bipartite graph matching problem is based on finding a point that maximizes the chances of similarity with another one, and it is explored in several areas such as Bioinformatics and Computer Vision. To solve that matching problem the auction algorithm has been widely used and its parallel implementation is employed to find matching solutions in a reasonable computational time. For example, image analysis may require a large amount of processing, as dense images can have thousands of points to be considered. Furthermore, to exploit the benefits of multicore architectures, a hybrid implementation can be used to deal with communication in both distributed and shared memory. The main goal of this paper is to implement and evaluate the performance of an hybrid parallel auction algorithm for multicore clusters. The experiments carried out analyzes the problem size, the number of iterations to solve the matching and the impact of these parameters in the communication costs and how it affects the execution times.
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