Gait recognition under variations of clothing and carrying condition is still a challenging task. In this paper, we present a gait identification method via sparse representation. We formulate the recognition problem ...
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In this paper,an iterative regularized super resolution (SR) algorithm considering non-Gaussian noise is *** on the assumption of a generalized Gaussian distribution for the contaminating noise,an lp norm is adopted t...
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In this paper,an iterative regularized super resolution (SR) algorithm considering non-Gaussian noise is *** on the assumption of a generalized Gaussian distribution for the contaminating noise,an lp norm is adopted to measure the data fidelity term in the cost *** the meantime,a regularization functional defined in terms of the desired high resolution (HR) image is employed,which allows for the simultaneous determination of its value and the partly reconstructed image at each iteration *** convergence is thoroughly *** results show the effectiveness of the proposed algorithm as well as its superiority to conventional SR methods.
Camera calibration is the essential step of obtaining 3D information from 2D views in the field of computer vision, which is widely used in the area of 3D reconstruction, navigation, visual supervision, etc. A camera ...
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This study proposes a method for uniformly revolving swarm robots to entrap multiple targets,which is based on a gene regulatory network,an adaptive decision mechanism,and an improved *** the gene regulatory network m...
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This study proposes a method for uniformly revolving swarm robots to entrap multiple targets,which is based on a gene regulatory network,an adaptive decision mechanism,and an improved *** the gene regulatory network method,the robots can generate entrapping patterns according to the environmental input,including the positions of the targets and ***,an adaptive decision mechanism is proposed,allowing each robot to choose the most well-adapted capture point on the pattern,based on its *** robots employ an improved Vicsek-model to maneuver to the planned capture point smoothly,without colliding with other robots or *** proposed decision mechanism,combined with the improved Vicsek-model,can form a uniform entrapment shape and create a revolving effect around targets while entrapping *** study also enables swarm robots,with an adaptive pattern formation,to entrap multiple targets in complex *** robots can be deployed in the military field of unmanned aerial vehicles’(UAVs)entrapping multiple *** experiments demonstrate the feasibility and superiority of the proposed gene regulatory network method.
A novel steganography algorithm operating in the wavelet domain is presented. The proposed algorithm gives two kinds of secret messages bits, which can be classified based on their important, and then have these bits ...
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ISBN:
(纸本)981238961X
A novel steganography algorithm operating in the wavelet domain is presented. The proposed algorithm gives two kinds of secret messages bits, which can be classified based on their important, and then have these bits hidden in intermediate or high frequency. 0 or 1 bist can be embedded through regulating intermediate or high frequency coefficients. The most important secret messages is hidden in intermediate frequency, which can resist normal JPEG compressing attack, The other is hidden in high frequency, which has high capacity advantage. The simulation results demonstrate stego-image possesses good visual effect after datum is hidden. Through blind extracting, rates of restoring datum are preferably.
In Embedded Zero-trees Wavelet Compression, there exist two problems, i.e. multi-scanning of wavelet coefficients and redundancy in the binary code. Considering it, this paper presents Improved EZW image Coding Algori...
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ISBN:
(纸本)981238961X
In Embedded Zero-trees Wavelet Compression, there exist two problems, i.e. multi-scanning of wavelet coefficients and redundancy in the binary code. Considering it, this paper presents Improved EZW image Coding Algorithm Based on zero-tree Index. The algorithm builds a new strategy with a from the bottom up scanning path by introducing the concept of zero-tree index, which reduces the times of repeated scanning and simplifies the computational complexity. We facilitate successive exclude scanning to get rid of the position information redundancy. As for the amplitudes of significant coefficients, we use multi-threshold to optimize the process of SAQ according to HVS, and consequently enhances the coding strategy.
Performance of digital watermarking depends on the parameters of embedding algorithm. Most algorithms cannot give the quantitative relationship between embedding parameters and its performance. This paper proposes a n...
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ISBN:
(纸本)981238961X
Performance of digital watermarking depends on the parameters of embedding algorithm. Most algorithms cannot give the quantitative relationship between embedding parameters and its performance. This paper proposes a new algorithm of bind digital audio watermarking based on SCS. This algorithm can design the embedding parameters according to the requirement. The paper adds the watermark in wavelet domain and compares its performance with that in time domain against attacks of additive noise, mp3 compression and resample. Computer simulation proves that this algorithm is effective and stable.
Objective image quality assessment(IQA)plays an important role in various visual communication systems,which can automatically and efficiently predict the perceived quality of *** human eye is the ultimate evaluator f...
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Objective image quality assessment(IQA)plays an important role in various visual communication systems,which can automatically and efficiently predict the perceived quality of *** human eye is the ultimate evaluator for visual experience,thus the modeling of human visual system(HVS)is a core issue for objective IQA and visual experience *** traditional model based on black box fitting has low interpretability and it is difficult to guide the experience optimization effectively,while the model based on physiological simulation is hard to integrate into practical visual communication services due to its high computational *** bridging the gap between signal distortion and visual experience,in this paper,we propose a novel perceptual no-reference(NR)IQA algorithm based on structural computational modeling of *** to the mechanism of the human brain,we divide the visual signal processing into a low-level visual layer,a middle-level visual layer and a high-level visual layer,which conduct pixel information processing,primitive information processing and global image information processing,*** natural scene statistics(NSS)based features,deep features and free-energy based features are extracted from these three *** support vector regression(SVR)is employed to aggregate features to the final quality *** experimental comparisons on three widely used benchmark IQA databases(LIVE,CSIQ and TID2013)demonstrate that our proposed metric is highly competitive with or outperforms the state-of-the-art NR IQA measures.
This paper deals with optimal training design and placement over multiple orthogonal frequency division multiplexing(OFDM) symbols for the least squares(LS) channel estimation in multiple-input multipleoutput(MIMO) OF...
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This paper deals with optimal training design and placement over multiple orthogonal frequency division multiplexing(OFDM) symbols for the least squares(LS) channel estimation in multiple-input multipleoutput(MIMO) OFDM ***,the optimal pilot sequences over multiple OFDM symbols are derived by co-cyclic Jacket matrices based on the minimum mean square error(MSE) of the LS channel ***,an enhanced channel estimation method using sliding window is proposed to improve further the performance for the optimal pilot sequences in fast-varying *** results show that the enhancedmethod can efficiently improve the performances for the optimal pilot sequences over two and four OFDM symbols,especially in fast-varying channels.
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