2015 8th International Congress on Image and Signal Processing (CISP)最新文献

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Single image super-resolution via online dictionary learning with double regularization parameters 通过双正则化参数在线字典学习实现单幅图像超分辨率
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407880
N. Hao, Wang Jianfeng, Ruan Ruo-lin
{"title":"Single image super-resolution via online dictionary learning with double regularization parameters","authors":"N. Hao, Wang Jianfeng, Ruan Ruo-lin","doi":"10.1109/CISP.2015.7407880","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407880","url":null,"abstract":"The performance of single image super-resolution (SR) based on sparse coding is promising but the artifacts are obvious. In order to promote the SR efficiency, the proposed algorithm employs Online Dictionary Learning (ODL) to train the overcomplete dictionaries separately to reduce the artifacts. It sets two different regularization parameters in the phases of dictionary learning and image reconstruction. They are tuned independently to get the best results. In the experiments, the PSNRs are 0.41dB higher than Sparse Coding Super-Resolution (SCSR) and 0.28dB higher than ODL SR algorithm in average. The proposed method can eliminate the artifacts and recover the texture details efficiently.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121697853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive active broadband absorption pipeline system design 自适应有源宽带吸收管道系统设计
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408126
Xiaolin Wang, Bilong Liu, Jun Yang, Zhongkun Jin, Jingwei Liu
{"title":"Adaptive active broadband absorption pipeline system design","authors":"Xiaolin Wang, Bilong Liu, Jun Yang, Zhongkun Jin, Jingwei Liu","doi":"10.1109/CISP.2015.7408126","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408126","url":null,"abstract":"Passive acoustic material is effective for the control of high frequency noise, but not for low frequency. In order to broaden the absorption band of passive material, an active/passive hybrid absorption control method is proposed in this paper in which the corresponding model is developed and the mechanism is clarified. By real time signal processing system established in the standing wave tubes of both air and underwater, the test result shows that the proposed method could control the signal noise of single frequency signal, pulse signal, sweep signal and broadband white noise, it could improve sound absorption performance of the passive material in frequency range from 400Hz to 1800Hz.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127556558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Person re-identification by improved Local Maximal Occurrence with color names 用颜色名称改进局部最大出现率的人物再识别
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407963
Mengye Song, Shengrong Gong, Chunping Liu, Yi Ji, Husheng Dong
{"title":"Person re-identification by improved Local Maximal Occurrence with color names","authors":"Mengye Song, Shengrong Gong, Chunping Liu, Yi Ji, Husheng Dong","doi":"10.1109/CISP.2015.7407963","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407963","url":null,"abstract":"Person re-identification is the task of associating people across cameras with non-overlapping view field. Two key aspects of Person re-identification are the feature representation and metric learning. The feature representation employed should be both discriminative and invariant, which is also our considering in this paper. To enhance person re-identification performance, we propose to combine improved Local Maximal Occurrence (LOMO) descriptor with semantic color names (SCN). Especially, we introduce symmetry information of human body to suppress the impact of background in LOMO. When fused with mid-level attribute-based description - sematic color names, our more discriminative signature is obtained. Based on the KISS metric, evaluation on the challenging VIPeR dataset shows that the proposed method improves the re-identification significantly.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131444341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
The compound controller design of a position servo system based on the acceleration signal 基于加速度信号的位置伺服系统复合控制器的设计
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408119
Ruijuan Guo, Yu Huang
{"title":"The compound controller design of a position servo system based on the acceleration signal","authors":"Ruijuan Guo, Yu Huang","doi":"10.1109/CISP.2015.7408119","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408119","url":null,"abstract":"According to the parametric uncertainties, high performance requirements and a variety of nonlinear disturbances in the position tracking servo system, the compound controller composed of feed forward and feedback parts is proposed in this paper. In this feedback pathway, three closed loops are designed to obtain satisfactorily dynamic responses and restrain corresponding system disturbances such as the friction and the payload variation by adjusting the position, velocity and acceleration errors in time. And there introduces two feed forward controllers on the basis of 3-loop control system when we take account of the contradiction between accuracy and dynamic performances, in this way the compound control system not only has prospective responses to how the servo system vary unpredictably, but also possesses high precision. And it has been found that the design of the feed forward adjusters is no longer reliant on the exact system model by adding the acceleration closed loop. In order to illustrate the effectiveness of the proposed compound controller, the simulations have been carried out in a PC, and the results show the satisfactory performances in precise, rapidity and so on.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126996460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Forward modeling of the microtremor wave field based on the finite difference method 基于有限差分法的微震波场正演模拟
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408072
Faquan Zhang, Jingru Li, Jincai Ye, Guofu Wang, G. Huang
{"title":"Forward modeling of the microtremor wave field based on the finite difference method","authors":"Faquan Zhang, Jingru Li, Jincai Ye, Guofu Wang, G. Huang","doi":"10.1109/CISP.2015.7408072","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408072","url":null,"abstract":"In order to extract surface waves more effectively and improve the accuracy of detection in a microtremor survey, the staggered grid finite difference method for forward modeling of microtremor wave field was proposed. The finite difference form of wave equation was derived from the staggered grid built, and then the split form of finite difference equations was developed based on perfectly matched layer condition. Forward modeling test was carried out on the homogeneous, two-layer medium and the thin multilayer medium half-space, respectively. The results show that the forward modeling of microtremor wave field can get a more realistic signal, and provide a theoretical base for data processing and analysis.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115086182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Downmix and coding of multichannel signals based on spatial correlation 基于空间相关的多通道信号的下混和编码
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408052
Bao-Ming Wu, Li Gao
{"title":"Downmix and coding of multichannel signals based on spatial correlation","authors":"Bao-Ming Wu, Li Gao","doi":"10.1109/CISP.2015.7408052","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408052","url":null,"abstract":"In multichannel audio system, virtual sound source may be produced and rendered at arbitrary directions and locations so the multichannel signals are complicated. Parametric coding methods encode two or more channel signals into a downmix accompanied with spatial parameters, which can provide preferable compression ratio and considerable sound quality in multichannel audio coding. Due to the correlation between channels the signal redundancy in channels will be removed in the downmixing. However the downmixing of two uncorrelated channel signals will cause virtual sound aliasing and seriously decrease sound quality. A spatial virtual sound oriented correlation analysis method between channel signals is proposed to combine the highly correlated channels to groups for downmixing and parameters extracting. Both subjective and objective experimental results for sound quality and spatial orientation evaluation identify that the proposed dynamical grouping method for downmixing is superior to the fixed grouping method in MPEG Surround. The proposed analysis method of spatial correlation between channel signals has much lower computational complexity than the traditional direct computing of correlation and provides considerable accuracy.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115618541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Mode activity based adaptive fast intra mode decision for HEVC/H.265 基于模式活动的HEVC/H.265模式内自适应快速决策
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407867
Lejun Yu, Feng-Xiang Ge, Jun He, Bo Sun, Fenglin Dai
{"title":"Mode activity based adaptive fast intra mode decision for HEVC/H.265","authors":"Lejun Yu, Feng-Xiang Ge, Jun He, Bo Sun, Fenglin Dai","doi":"10.1109/CISP.2015.7407867","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407867","url":null,"abstract":"In the intra coding of HEVC/H.265, the computational complexity of intra mode decision is very high because up to 35 intra prediction modes are supported. Though a fast intra mode decision based on rough mode decision (RMD) is adopted in reference software HM12.0, only a fixed number of intra modes are selected for rate distortion optimization (RDO). In this paper, an adaptive fast intra mode decision for HEVC/H.265 is proposed. We define mode activity by analyzing the rough costs of all modes, and the computational complexity of mode activity is very low. Based on the analysis of relation between mode activity and rate distortion cost gain, we propose to adaptively reduce the number of candidate intra modes for RDO by utilizing the mode activity, so accelerated intra coding is realized. Compared with the RMD in reference code HM12.0 of HEVC/H.265, the proposed algorithm can reduce encoding time with only negligible loss of compression efficiency.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115667821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Signal processing on heart rate signals using the wavelet-based contourlet transform and multifractal 基于小波的contourlet变换和多重分形对心率信号进行信号处理
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408117
Zhenghua Shu, Guodon Liu, Zhihua Xie, Ying Xiong
{"title":"Signal processing on heart rate signals using the wavelet-based contourlet transform and multifractal","authors":"Zhenghua Shu, Guodon Liu, Zhihua Xie, Ying Xiong","doi":"10.1109/CISP.2015.7408117","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408117","url":null,"abstract":"This paper presents a Signal Processing method on Heart Rate Signals Using The Wavelet-based Contourlet Transform and multifractal. The method is based on the Wavelet-based Contourlet transform and filter banks. The algorithm implementation process is as follows. Firstly the Wavelet-based contourlet transform orthogonal decomposes heart rate variability signal fractal component. Power spectrum of heart rate variability signal fractal component is estimated by the self regression model. The Walker equation Yule is used to fit the fractal components of the double logarithm coordinate power spectrum, and the slope is estimated. Finally, the fractal dimension of the heart rate variability signal is estimated by formula D=2-(γ-1)/2. In order to validate the feasibility of the proposed algorithm of stability and reliability, the MIT-BIH ECG database fractal signal is verified. The results show that the algorithm is applied to calculate the heart rate variability signal fractal dimension is feasible.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114881139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Target representation in hyperspectral images based on tensor block term decomposition 基于张量块项分解的高光谱图像目标表示
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407985
Xing Zhang, G. Wen, Wei Dai
{"title":"Target representation in hyperspectral images based on tensor block term decomposition","authors":"Xing Zhang, G. Wen, Wei Dai","doi":"10.1109/CISP.2015.7407985","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407985","url":null,"abstract":"Combining imaging technology and spectroscopy in a unified system, hyperspectral data sets provide a powerful sense to discriminate the targets in a view. However, most of the traditional methods for HSIs concentrate on pixel/subpixel level targets and they only rely on spectral characteristic. On the one hand, the target composed of different materials may not be well-represented by only one kind of spectrum. Consequently, target recognition probability would be reduced or even failure. On the other hand, different targets might be composed of the same or similar materials, thus creating a source of false alarms. In this paper, a spectral-spatial representation for the target in hyperpsectral images (HSIs) is proposed, under the theory of tensor block term decomposition (BTD). As a consequence, the target is modeled by a set of spectrum-image terms. In each term, the spectrum indicates one kind of material of the target and the counter image corresponds to the spatial distribution of such spectrum. Both the spectral and spatial characteristics of the target are described for improving the effectiveness of hyperspectral target recognition technology. Experiments with both simulated and real HSI data sets reveal that the proposed method outperforms those spectral-based methods with better target discrimination.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117304751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Gain factor linear prediction based decision-directed method for the a priori SNR estimation 基于增益因子线性预测的决策导向先验信噪比估计方法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408063
Wantao Zhang, S. Ou, Suojin Shen, Ying Gao
{"title":"Gain factor linear prediction based decision-directed method for the a priori SNR estimation","authors":"Wantao Zhang, S. Ou, Suojin Shen, Ying Gao","doi":"10.1109/CISP.2015.7408063","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408063","url":null,"abstract":"The performance of a noisy speech enhancement algorithm depends mainly on the accuracy of the a priori signal-to-noise ratio (SNR) estimate. The decision-directed (DD) algorithm for estimating the a priori SNR has received lots of attention due to its good performance in eliminating the musical noise and the low computational complexity. However, this algorithm has a serious problem in that the estimation result of the a priori SNR tracks the shape of the instantaneous SNR with one frame delay, which leads to the degraded quality of enhanced speech signal. To remove this drawback, our paper proposes a gain factor linear prediction based DD approach for the a priori SNR estimation. Firstly, we analyze the statistical dependence between the successive gain factors, and develop an adaptive scheme to predicate the current gain factor using the gain factors at previous fames. Then, the predicated gain factor at the current frame is mapped with the current noisy speech to compute the first component of the DD method. The advantage of our approach is that it does no longer consist of any priori information about the estimated a priori SNR at previous frame and effectively increases the tracking sensitivity to speech onsets. In the speech enhancement simulation experiments, the proposed method is shown to bring significant improvement as compared to the conventional DD method and its modified schemes.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123534257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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