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2011 4th International Congress on Image and Signal Processing最新文献

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An algorithm for loop delay estimation in digital predistortion system 数字预失真系统中环路延迟估计的一种算法
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100770
Lei Liu, Peng Zhang, Ziliang Lin
{"title":"An algorithm for loop delay estimation in digital predistortion system","authors":"Lei Liu, Peng Zhang, Ziliang Lin","doi":"10.1109/CISP.2011.6100770","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100770","url":null,"abstract":"In this paper, an algorithm for precisely estimating loop delay in digital predistortion (DPD) system is proposed. The proposed algorithm consists of integer loop delay estimation and fractional loop delay estimation. Compared with conventional algorithms, the integer loop delay can be estimated using improved algorithm based on Euclidean distance function while the fractional loop delay estimation is modified by iterative method. Simulation results prove the validity of the proposed loop delay estimation method and the effect on the DPD system. Furthermore, the proposed algorithm requires less hardware resources.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115368909","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
Speaker recognition based on Probabilistic Neural Network 基于概率神经网络的说话人识别
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100707
Jinming Wang, Geng Wang
{"title":"Speaker recognition based on Probabilistic Neural Network","authors":"Jinming Wang, Geng Wang","doi":"10.1109/CISP.2011.6100707","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100707","url":null,"abstract":"Probabilistic Neural Network(PNN) is considered a good speaker recognition method, but, the recognition performance of PNN is greatly depends on the selection of smoothing parameter. In this paper a new method is proposed to estimate the arrange of smoothing parameter based on the samples distances among different classes. The experimental results of speaker recognition based on PNN show that this method is effective.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115686146","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
Research on image enhancement algorithms based on Matlab 基于Matlab的图像增强算法研究
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100359
Hongchao Song, Yuanyuan Shang, Xuefeng Hou, Baoyuan Han
{"title":"Research on image enhancement algorithms based on Matlab","authors":"Hongchao Song, Yuanyuan Shang, Xuefeng Hou, Baoyuan Han","doi":"10.1109/CISP.2011.6100359","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100359","url":null,"abstract":"This paper discusses the typical image enhancement algorithms such as median filtering, average smoothing, homomorphic filtering and histogram equalization. These algorithms are also verified based on Matlab. In the last part of the paper, the pre-and post processing image using these algorithms are shown. The results reveal that median filtering has a good inhibition on salt and pepper noise than average smoothing and the homomorphic filtering has more advantages than histogram equalization in dealing with the uneven illumination image.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115731625","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: 7
The research on segmentation of complex object 复杂目标分割的研究
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100429
Xiaofei Wang, Quan Pang
{"title":"The research on segmentation of complex object","authors":"Xiaofei Wang, Quan Pang","doi":"10.1109/CISP.2011.6100429","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100429","url":null,"abstract":"It is difficult to use the traditional image segmentation method to segment the complex object whose boundary is blurred from the background. The active contour model, based on level set, is widely used in recent years and selected to segment this type of object in this paper. To increase the speed of segmentation, the fast active contour model without need to solve partial differential equation is used in this paper. This paper proposes a new way of thinking about designing the data-dependent speed function in the fast active model and gives the corresponding general speed function. The probability estimate theory and the conventional CV model are introduced into the data-dependent speed function, and then this paper proposes two novel fast models which can be called histogram-based fast model and CV-based fast model. The two models are studied both theoretically and experimentally. Finally a conclusion can be drawn that the histogram-based fast model is applied to segment the complex object from the background.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114649450","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
Gray world based color correction and intensity preservation for image enhancement 基于灰度世界的色彩校正和图像增强的强度保持
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100336
Ngaiming Kwok, D. Wang, Xiuping Jia, S. Y. Chen, Gu Fang, Q. Ha
{"title":"Gray world based color correction and intensity preservation for image enhancement","authors":"Ngaiming Kwok, D. Wang, Xiuping Jia, S. Y. Chen, Gu Fang, Q. Ha","doi":"10.1109/CISP.2011.6100336","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100336","url":null,"abstract":"Images captured by digital cameras are vulnerable to quality degradations due to non-ideal illumination conditions such as dominated lighting source colors, where images so obtained may not faithfully reproduce the scene chromatics accurately. While it is a complicated process to control the scene illumination, color correction used as a post-processing procedure, is becoming an attractive solution. This research has developed an approach for color correction based on a modified implementation of the gray world assumption. The image color is adjusted by employing a gamma correction to satisfy the gray world assumption and avoid color saturation as encountered in the conventional approach. In order to further improve the image visual quality, an intensity preservation criterion is adopted as an additional means to produce the resultant image. With the normalization of intensity in accordance with the original image, an enhanced image both in color and intensity, is finally obtained. A collection of color images are used in an experiment to verify the proposed algorithm. Results have indicated that the proposed method is effective in producing enhanced images in the context of color enhancements.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124281886","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: 30
An improved voice conversion method using segmental GMMs and automatic GMM selection 一种改进的基于分段GMM和自动选择GMM的语音转换方法
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100692
H. Gu, Sung-Fung Tsai
{"title":"An improved voice conversion method using segmental GMMs and automatic GMM selection","authors":"H. Gu, Sung-Fung Tsai","doi":"10.1109/CISP.2011.6100692","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100692","url":null,"abstract":"In this paper, the idea of segmental GMMs is proposed for voice conversion. Also, to apply this idea to on-line voice conversion, we have developed an automatic GMM selection algorithm based on dynamic programming. In addition, to map a vector of DCC (discrete cepstrum coefficients) with only one Gaussian mixture, we have designed a mixture selection algorithm. For evaluating the performance of the idea, segmental GMMs, three voice conversion system are constructed and used to conduct listening tests. The results of the listening tests show that segmental GMMs proposed here can indeed help to improve the performances in both timbre similarity and voice quality.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116885187","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: 6
Integrated multi-channel subsystem for MR signal acquisition 集成多通道磁流变信号采集子系统
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100622
Yang Wenhui, Yan Zheng
{"title":"Integrated multi-channel subsystem for MR signal acquisition","authors":"Yang Wenhui, Yan Zheng","doi":"10.1109/CISP.2011.6100622","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100622","url":null,"abstract":"A multi-channel digital subsystem for MR signal acquisition was designed to achieve parallel acquisition. The subsystem is based on FPGA,DSP and Power PC. Sample the multi-channel magnetic resonance signals at a high speed simultaneously and demodulate them directly. A digital down conversion (DDC) chip (AD6636) demodulate and decimate multi-channel signal under the DSP control. Power PC reads out the I/Q data of each channel at the same time with the signal sampling frequency up to 100 MSPS. The subsystem can be applied to magnetic field of 1T. Experiments show that four channels work well, and filter parameters can be changed easily by user. It is optimized for compact with high sampling rate and rich flexible filter design. It provides a high-performance signal acquisition design for parallel imaging.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116909287","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
Use estimation of Performance Index to realize adaptive blind source separation 利用性能指标估计实现自适应盲源分离
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100745
Tianqi Zhang, Lizhong Li, Gang Zhang, Chenqiang Gao, R. Hou
{"title":"Use estimation of Performance Index to realize adaptive blind source separation","authors":"Tianqi Zhang, Lizhong Li, Gang Zhang, Chenqiang Gao, R. Hou","doi":"10.1109/CISP.2011.6100745","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100745","url":null,"abstract":"For adaptive blind source separation problem, by estimating the mixing matrix, then we can get the global transfer matrix, further we can obtain the estimation of PI (Performance Index), so we propose a new variable step-size blind adaptive algorithm based on EASI (Equivariant Adaptive Separation via Independence) algorithm. The accuracy of separation is determined by the global transfer matrix, that is to say, the step-size of EASI algorithm is adjusted by the accuracy of separation, which can be controlled by the estimation of PI. When the separation result with low precision, the step-size is biggish; on the contrary, accuracy increases, the step-size decreases. The simulation results show that the performance of the proposed algorithm is superior to the conventional EASI algorithm and has improved the separation result of the blind sources.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121280460","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: 5
Monitoring sandified land changes using multi-temporal Landsat TM/ETM+ Data in Dengkou County of Inner Mongolia, China 利用多时相Landsat TM/ETM+数据监测内蒙古登口县沙化土地变化
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100405
Xiaohui Wang, Zeng-yuan Li, Zhihai Gao
{"title":"Monitoring sandified land changes using multi-temporal Landsat TM/ETM+ Data in Dengkou County of Inner Mongolia, China","authors":"Xiaohui Wang, Zeng-yuan Li, Zhihai Gao","doi":"10.1109/CISP.2011.6100405","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100405","url":null,"abstract":"Monitoring sandified land changes using remote sensing provides accurate and timely information for prevention and control of sandified lands. Using Landsat TM/ETM+ Data, this paper detected and monitored sandified land changes from 1992 to 2002 in Dengkou County of Inner Mongolia, China, which was a typical region suffering from land degradation and sandstorm hazard in arid and semi-arid areas. A hybrid method combining principal component analysis (PCA) and supervised classification was employed to detect sandified land changes. All the bands from two dates of Landsat TM/ETM+ images were merged into a twelve-band image on which PCA was undertaken. The second principal component (PC2) appropriately reflecting sandified land changes was chosen for change detection. The thresholds were applied to PC2 image to isolate the pixels that had changed. Supervised classification was used to classify the change areas. The hybrid method was very useful in identifying the extension or reversion of sandified lands. Results showed that the total area of sandified lands in Dengkou County decreased by 24.47% during the study period, while shifting sandy lands increased by 21.5%. Caused by human activities, especially over-reclamation, most of decreased sandified lands were converted into farmlands, and farmlands increased by 70.7%. The paper could provide scientific basis for decision making and action taking of sandified land control.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127336302","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
Muti-scale image enhancement based on properties of human visual system 基于人类视觉系统特性的多尺度图像增强
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100344
Hong Zhang, Qian Zhao, Lu Li, Yue-cheng Li, Yuhu You
{"title":"Muti-scale image enhancement based on properties of human visual system","authors":"Hong Zhang, Qian Zhao, Lu Li, Yue-cheng Li, Yuhu You","doi":"10.1109/CISP.2011.6100344","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100344","url":null,"abstract":"The logarithmic image processing (LIP) model is a mathematical framework which has been proved to be consistent with several laws and fit characteristics of the human visual system. In this paper, we both utilize this LIP model and consider characteristics of the human visual system (HVS) to propose a new multi-scale enhancement algorithm. Then a new measure of enhancement based on JND model (Just Noticeable Difference, JND) of human visual system is proposed and used as a tool for evaluating the performance of the enhancement technique. Finally, the proposed algorithm's performance is compared quantitatively to several popular image enhancement algorithms, and experimental results show that the propose algorithm can adjust the image dynamic range, enhance the image details and achieve a more pleasing and comfortable image.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125024220","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: 13
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