{"title":"Image denoising and restoration using Pulse Coupled Neural Networks","authors":"H. Wen, Jie Wen","doi":"10.1109/CISP.2013.6744003","DOIUrl":"https://doi.org/10.1109/CISP.2013.6744003","url":null,"abstract":"In this paper, a kind of method for image denoising is proposed which is based on Pulse Coupled Neural Network (PCNN) and conjugate gradient method. Firstly, we compress and add noise on a high resolution image. Then, we remove noise based on PCNN within 5 neighborhoods and 3 neighborhoods. Finally, we use adaptive median filter to modify the image pixels and use the matrix conjugate gradient method to rebuild the image. The computer simulation experiment results show that the method is perfect for images with noise of salt and pepper and has a good ability in keeping the details of images.","PeriodicalId":442320,"journal":{"name":"2013 6th International Congress on Image and Signal Processing (CISP)","volume":"308 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114415927","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}
{"title":"A fast video image defogging algorithm based on dark channel prior","authors":"E. Zhang, Kaihui Lv, Yongchao Li, J. Duan","doi":"10.1109/CISP.2013.6743990","DOIUrl":"https://doi.org/10.1109/CISP.2013.6743990","url":null,"abstract":"The captured images in the frog climatic condition are often blurred and will degrade the performance of the video surveillance system. In order to meet the real-time requirements of video image defogging, this paper proposes a fast video image defogging algorithm based on the dark channel prior. Firstly, atmospheric light value is estimated by more reasonable way. Secondly, the tolerance mechanism is included for adjusting the transmission rate map in the bright areas in order to eliminate color distortion phenomenon in the bright areas of the image. Finally, by reducing the transmission rate map resolution reasonably, the calculating time is shorten but the processing effects is not affected at the same time. The experiment results show that the proposed method can get a good defogging effect.","PeriodicalId":442320,"journal":{"name":"2013 6th International Congress on Image and Signal Processing (CISP)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114570493","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}
{"title":"A segmentation method for spotted-partten damaged Thangka image combining grayscale morphology with maximum entropy threshold","authors":"Baojuan Luo, Weilan Wang, Yanjun Jia, W. Gao","doi":"10.1109/CISP.2013.6744060","DOIUrl":"https://doi.org/10.1109/CISP.2013.6744060","url":null,"abstract":"Before inpainting damaged Thangka image using digital technology, it's necessary to segment the damaged regions. A segmentation algorithm is proposed to segment the spotted regions of damaged Thangka mage, which combines grayscale morphology with maximum entropy threshold method. First of all, the mathematical morphology is used to act on RGB channels respectively in order to segment the tiny spots. Afterwards, maximum entropy threshold method is applied to segment the large spots. Finally, the above results are merged. The final segmentation result is achieved. Experimental results demonstrate the effectiveness of the proposed algorithm.","PeriodicalId":442320,"journal":{"name":"2013 6th International Congress on Image and Signal Processing (CISP)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114596855","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}
{"title":"An efficient quantum secure dialogue scheme without information leakage by using single photons","authors":"Zhenchao Zhu, Aiqun Hu, Anmin Fu","doi":"10.1109/CISP.2013.6743937","DOIUrl":"https://doi.org/10.1109/CISP.2013.6743937","url":null,"abstract":"A quantum dialogue protocol based on single photons is proposed in this paper, two legitimate dialogue parties can send their secret messages to each other simultaneously. The protocol is secure against the denial of service attack, the delay-photon Trojan horse attack and invisible photon eavesdropping attack. Moreover, it can overcome the information leakage problem existed in most previous quantum dialogue protocols. Compared with the only secure quantum dialogue protocol based on single photons which also can overcome the information leakage problem as far as we know, our protocol has a higher efficiency for qubits. The protocol is experimentally feasible within current technologies.","PeriodicalId":442320,"journal":{"name":"2013 6th International Congress on Image and Signal Processing (CISP)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124908954","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}
{"title":"A new algorithm for SAR image despeckling using an enhanced Lee filter and median filter","authors":"J. Zhu, Jianguo Wen, Yafeng Zhang","doi":"10.1109/CISP.2013.6743991","DOIUrl":"https://doi.org/10.1109/CISP.2013.6743991","url":null,"abstract":"Speckle noise usually occurs in synthetic aperture radar (SAR) images , and SAR data is processed coherently. Speckle filters commonly are adaptive filters using local statistics such as mean and standard deviation, such as the Lee and its enhanced filters and median filter. They adapt the filter coefficients based on data within a fixed moving window, and this brings in contradiction between the quality of speckle noise suppression and the capability of preserving image details. The Lee filter decreases speckle noise well in homogeneous regions, and the enhanced filter performs well both in the homogeneous and heterogeneous areas. But it does not effectively maintain image edges and details, while depressing SAR image noise. The median filter does well in decreasing impulse noise. In this paper, we propose an improved algorithm fusing the enhanced Lee filter and median filter based on spatial filtering of SAR image speckle. The experiment proves it has a good performance in preserving edges and details while filtering images.","PeriodicalId":442320,"journal":{"name":"2013 6th International Congress on Image and Signal Processing (CISP)","volume":"481 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122746677","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}
{"title":"A slot-controlling method for anti-collision in active RFID system","authors":"Yiteng Du, Zongtao Chi","doi":"10.1109/CISP.2013.6743910","DOIUrl":"https://doi.org/10.1109/CISP.2013.6743910","url":null,"abstract":"It is widely accepted that active radio frequency identification (RFID) has been bringing forth great change in modern society, such as logistics, trace and orientation. Passive RFID is a significant research point owing to its advantages. In the meanwhile, anti-collision in active RFID system is inevitable especially in condition of massive tags. Through experiment and analysis, we found out that the ISO/IEC 18000-7 protocol cannot handle the problem well so we put forward a brand new algorithm which is called the slot-controlling method to improve its inventory rate. The conception described in this text is introduced to improve the use of vacant slot and additionally, master and slave reader mechanism can help improve the efficiency of recognition. Finally, we compared the result between the new algorithm and the old one and draw a conclusion that the new slot-controlling method can help improve the inventory rate dramatically under conditions of massive tags.","PeriodicalId":442320,"journal":{"name":"2013 6th International Congress on Image and Signal Processing (CISP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124232396","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}
{"title":"Blind speech signal separation in wireless sensor networks","authors":"Hongjuan Sun, Qinglei Zhu","doi":"10.1109/CISP.2013.6743897","DOIUrl":"https://doi.org/10.1109/CISP.2013.6743897","url":null,"abstract":"In this paper, problems concerning blind speech signal separation in wireless sensor networks (WSNs) are discussed. The observations captured by sensors are assumed to be linear instantaneous mixtures of the speech sources in the sensing field. First, a framework is designed for the collection, transmission and separation of mixtures of speech signal in WSNs, and the corresponding algorithm appropriate for blind speech signal separation in wireless sensor networks is selected. We also propose the corresponding sensor selection scheme in WSNs on purpose of energy conservation while ensuring the performance of blind speech signal separation. Experimental results show that the mixtures of speech signal can be effectively separated in the assumed WSN scenario with the traditional blind signal separation (BSS) algorithm we select and the schemes for energy efficiency we propose.","PeriodicalId":442320,"journal":{"name":"2013 6th International Congress on Image and Signal Processing (CISP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126490196","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}
{"title":"An algorithm for face determination based on convolution and average face","authors":"Zhangli Lan, Danmei Wang, Fangfang Bao, Minglan Sheng","doi":"10.1109/CISP.2013.6745291","DOIUrl":"https://doi.org/10.1109/CISP.2013.6745291","url":null,"abstract":"This paper presents an algorithm for face determination by using the method of convolution and average face template. Firstly, human face images are used to synthesize average face template. Then convolution is applied to each detecting image to get the convolution value. Finally, the threshold decision principle is applied to determine whether the detecting image is human face or non-face. Three different templates of frontal, right, and left are used to test the algorithm. Experimental verifications are conducted to evaluate performance of the algorithm on RGB, Gray, and YCrCb color spaces. The results show that the proposed method can achieve reliable face judgment and R component in RGB has the best effect, and the correct determination rates of front, left, and right face datasets are 96.9%, 98.2%, and 99.1%.","PeriodicalId":442320,"journal":{"name":"2013 6th International Congress on Image and Signal Processing (CISP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129711990","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}
{"title":"Image denoising based on adaptive fractional partial differential equations","authors":"Jin Che, Qian Guan, Xiyuan Wang","doi":"10.1109/CISP.2013.6744004","DOIUrl":"https://doi.org/10.1109/CISP.2013.6744004","url":null,"abstract":"By combining fractional differential operator which can enhance image texture information with variational partial differential equation and then applying to image denoising, a denoising model based on fractional partial differential operator is put forward. The model can not only better suppress noise of the image, but also better preserve detailed texture information. However, the order of the fractional differential operator must be determined by a lot of experiments. Therefore, calculating local variance is chosen to express the complexity of the local image texture so as to realize adaptive determination of the order of fractional differentiation. The experimental results show that adaptive fractional partial differential operator not only inherits advantages of TV model, but also better keeps detailed image information. The adaptivity of the model is conductive to its being promoted to practical application.","PeriodicalId":442320,"journal":{"name":"2013 6th International Congress on Image and Signal Processing (CISP)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130596461","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}
{"title":"Automatic radial distortion correction for endoscope image","authors":"Weijian Cong, Jian Yang, Weijiang Deng, Jianjun Zhu","doi":"10.1109/CISP.2013.6745298","DOIUrl":"https://doi.org/10.1109/CISP.2013.6745298","url":null,"abstract":"Although medical endoscopy has been widely used in surgical procedures in clinical practice, radial distortion induced by the small size of the spherical lens in the endoscopic images generally lead to depth perception error and wrong position correlation of human tissues. The paper proposes a novel method for radial distortion correction using spherical projection model. First, a series of images of the designed marker board at different imaging orientations are captured by the endoscope. Then, the corners in all images are detected and matched automatically. The spherical model thus can be constructed by fitting the feature points in the projection images. Finally, the relationships of the source image, corrected image and the projection model can be obtained by optimization of the matched features. The process of distortion correction is fully automatic that requires no any human intervention. Experimental results demonstrate that the distortion correction method is very effective, which can achieve a mean RMS error of 0.81 pixel.","PeriodicalId":442320,"journal":{"name":"2013 6th International Congress on Image and Signal Processing (CISP)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130031998","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}