In this paper, a novel video back projection super- resolution method using non-local prior is proposed. Our approach has three steps. First, we make initial motion estimation with block-matching and fine block matchi...
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ISBN:
(纸本)9781467321969
In this paper, a novel video back projection super- resolution method using non-local prior is proposed. Our approach has three steps. First, we make initial motion estimation with block-matching and fine block matching to search for the pixels with similar structural content from video sequences. In this process, an adaptive technique is introduced to avoid redundant search. Second, we do initial interpolation to the input video sequences and a bilateral filtering is applied to the interpolation frames to achieve edge-preserving image smoothing. Third, a video non-local means filter is applied to modify the error image in iteration step of the iterative back projection. The experimental result shows that the proposed method can increase image details, moreover, the chessboard effect and ringing effect along image edges can be removed and sharp and clear edges in visual perception will be obtained.
Based on the sequence entropy of Shannon information theory, we work on the network coding technology in wirelesssensornetwork (WSN). In this paper, we take into account the similarity of the transmission sequences ...
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Based on the sequence entropy of Shannon information theory, we work on the network coding technology in wirelesssensornetwork (WSN). In this paper, we take into account the similarity of the transmission sequences at the network coding node in the multi-sources and multi-receivers network in order to compress the data redundancy. Theoretical analysis and computer simulation results show that this proposed scheme not only further improves the efficiency of network transmission and enhances the throughput of the network, but also reduces the energy consumption of sensor nodes and extends the network life cycle.
A novel back-projection framework for single image super-resolution is proposed in this paper. In our framework, the edge of the high-resolution image is firstly detected by the canny edge detection algorithm and the ...
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ISBN:
(纸本)9781467321969
A novel back-projection framework for single image super-resolution is proposed in this paper. In our framework, the edge of the high-resolution image is firstly detected by the canny edge detection algorithm and the bilateral filtering algorithm, and the high-resolution image is divided into edge area and flat area. Then the edge area of the high resolution image is filtered by the adaptive kernel regression denoising algorithm in the iterative back-projection process. And the flat area of the high resolution image is reconstructed by the iterative back- projection method. Experimental results demonstrate that the proposed method can reconstruct high quality images in both the measure of objective quality and the subjective perception.
Colorization is a computer-aided process of automatically adding colors to grayscale images or videos according to the colors scribbled on by the user. In this paper, we propose a novel colorization method which based...
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ISBN:
(纸本)9781467321969
Colorization is a computer-aided process of automatically adding colors to grayscale images or videos according to the colors scribbled on by the user. In this paper, we propose a novel colorization method which based on correlation neighborhood similarity pixels priori. First, according to a key observation that similar intensities neighboring pixels have similar colors, our method searches the similarity neighborhood pixels group. Then, we compute the weighted coefficients of the neighborhood pixels in the luminance image and transmit the weighted coefficients to the chrominance. Finally, we obtain the chrominance values by solving a quadratic optimization problem which uses the colors scribbled on by the user as the linear constraints. The experimental results show that our approach is quite effective especially in the boundary parts. Moreover, our method can give better visually results when only a few colors scribbled on.
This paper combines adaptive sub-carriers allocation, power allocation in OFDMA with the transmission of the H.264 SVC (Scalable Video Coding) encoded video sequences in order to support more user and provide better q...
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ISBN:
(纸本)9781467321969
This paper combines adaptive sub-carriers allocation, power allocation in OFDMA with the transmission of the H.264 SVC (Scalable Video Coding) encoded video sequences in order to support more user and provide better quality of service (Qos) to the subscribers. Firstly we compute the maximum number of users the system can support by our proposed CAC (call admission control), and then our proposed adaptive resource allocation algorithm is utilized to allocate resource to these users On the premise of meeting the most basic requirements of all the users, our proposed scheme can select appropriate resolution adaptively for users according to the channel information. Experimental results demonstrate that our scheme performs better than systems with a fixed resource allocation strategy.
In cognitive radio system, the Cournot game model is used for analyzing the spectrum allocation of primary users. Considering the noise is random, the spectrum allocation of primary user based on Bayesian game is prop...
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ISBN:
(纸本)9781467321969
In cognitive radio system, the Cournot game model is used for analyzing the spectrum allocation of primary users. Considering the noise is random, the spectrum allocation of primary user based on Bayesian game is proposed in this paper. First, the transmit power is viewed as one factor of the cost function. And considering the noise is uncertain, the high noise and the low noise are viewed as two different types of primary users. Then, we can obtain the strategy of primary user by using dynamic Bayesian game. The experimental results on spectrum allocation demonstrate the effectiveness of the proposed scheme.
The intrusion detection system and technology of classified layered-wirelesssensornetwork was able to meet the high safety requirements of wirelesssensornetwork, it is urgent for us to improve the identification a...
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Whittaker-Shannon interpolation formula instead of narrowband filter (NF) is used to interpolate the signal more precisely in wideband direction-of-arrival (DOA) estimation problem when the number of samples is highly...
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Whittaker-Shannon interpolation formula instead of narrowband filter (NF) is used to interpolate the signal more precisely in wideband direction-of-arrival (DOA) estimation problem when the number of samples is highly limited. A novel algorithm named block FOCal Underdetermined System Solver (BFOCUSS) is proposed to solve this problem. The simulation results validate the superior performance compared with the other algorithms.
Anti-worm is an effective way to fight against malicious worm and has been followed closely by malicious worm researchers recently. However, active and passive confronting technologies in peer-to-peer （P2P） networks...
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Anti-worm is an effective way to fight against malicious worm and has been followed closely by malicious worm researchers recently. However, active and passive confronting technologies in peer-to-peer （P2P） networks have not been studied in depth. This paper introduces both of them to fight against malicious worm in P2P networks. To study their effectiveness in P2P networks, this paper takes the topology degree in P2P networks into consideration and puts forward a four-state propagation model for active anti-worm and a five-state propagation model for passive anti-worm respectively. Both of the models are simplified in the case that size of a P2P network is large enough. The simulation results have not only validated the effectiveness of our propagation models but also evaluated the excellent performance of both active anti-worm and passive anti-worm.
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