Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729672
M. Papadogiorgaki, M. Zervakis
Cancer mathematical modeling constitutes an emerging area of research aiming to predict tumors spatial and temporal evolution. Several mathematical and computational models have appeared in the literature addressing the mechanisms that govern tumor progression and invasion. Modeling techniques are initialized based either on the actual tumor geometries derived from imaging modalities (such as serial MRIs), or on virtual tumor approximation. Cancer modeling is performed using various tissue modeling and evolution techniques, which are generally classified as continuum, discrete and hybrid methods. This paper aims to present a comprehensive overview of tumor modeling approaches and based on significant trends to propose a continuum mathematical model of avascular glioma spatiotemporal evolution. This model takes under consideration the oxygen concentration inside the tumor and its surroundings, which is engaged in tumor-cell survival, proliferation and invasion. The tumor area is divided into layers that form proliferating, hypoxic and necrotic regions of tumor cells. The simulation results for different evolution times demonstrate that the proposed model may provide an essential framework for a patient-specific simulation tool towards the reliable prediction of glioma spatiotemporal progression.
{"title":"Visualization and modeling of cancer progression","authors":"M. Papadogiorgaki, M. Zervakis","doi":"10.1109/IST.2013.6729672","DOIUrl":"https://doi.org/10.1109/IST.2013.6729672","url":null,"abstract":"Cancer mathematical modeling constitutes an emerging area of research aiming to predict tumors spatial and temporal evolution. Several mathematical and computational models have appeared in the literature addressing the mechanisms that govern tumor progression and invasion. Modeling techniques are initialized based either on the actual tumor geometries derived from imaging modalities (such as serial MRIs), or on virtual tumor approximation. Cancer modeling is performed using various tissue modeling and evolution techniques, which are generally classified as continuum, discrete and hybrid methods. This paper aims to present a comprehensive overview of tumor modeling approaches and based on significant trends to propose a continuum mathematical model of avascular glioma spatiotemporal evolution. This model takes under consideration the oxygen concentration inside the tumor and its surroundings, which is engaged in tumor-cell survival, proliferation and invasion. The tumor area is divided into layers that form proliferating, hypoxic and necrotic regions of tumor cells. The simulation results for different evolution times demonstrate that the proposed model may provide an essential framework for a patient-specific simulation tool towards the reliable prediction of glioma spatiotemporal progression.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127556330","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}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729707
Liu Kaiqi, Wang Wenguang, S. Zuowei
In this paper, a new recognition algorithm of SAR image which is based on combined templates has been proposed. The new algorithm is based on the traditional mean templates recognition. We use some statistical information of the training samples to make a refusing threshold, which is expected to have the ability that can refuse the non-template-class targets effectively. Meanwhile, the proposed combined templates algorithm can re-recognize those refused targets by another target recognition method called recognition based on features of graphic image knowledge so that we can improve the final recognizing efficiency. Finally, we use MSTAR database to detect the target recognition ability, which can indicate that the algorithm we proposed is effective.
{"title":"Recognition of SAR image based on combined templates","authors":"Liu Kaiqi, Wang Wenguang, S. Zuowei","doi":"10.1109/IST.2013.6729707","DOIUrl":"https://doi.org/10.1109/IST.2013.6729707","url":null,"abstract":"In this paper, a new recognition algorithm of SAR image which is based on combined templates has been proposed. The new algorithm is based on the traditional mean templates recognition. We use some statistical information of the training samples to make a refusing threshold, which is expected to have the ability that can refuse the non-template-class targets effectively. Meanwhile, the proposed combined templates algorithm can re-recognize those refused targets by another target recognition method called recognition based on features of graphic image knowledge so that we can improve the final recognizing efficiency. Finally, we use MSTAR database to detect the target recognition ability, which can indicate that the algorithm we proposed is effective.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130083647","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}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729699
Alexander Ditter, D. Fey, Tobias Schon, Maik Luxa, Roland Gruber
The application of video encoding for the compression of Computed Tomography (CT) based projection images is very promising with respect to a more efficient transmission and storage of this particular type of data. Especially the use of “off-the-shelf” technologies, such as the H.264/AVC codec, ensures long term support due to its widespread use in the media industry. We present an approach for the application of this standard 8-bit video codec even for 16-bit projection data sets. Based on a benchmark set of 200 pistons, we evaluate its performance in terms of the compression rate relative to the original input data. Furthermore, we compare the detection rate of manufacturing defects in the reconstructed volumes to the state-of-the-art technique without video encoding. For this purpose our benchmark does not only contain the projections of the 200 pistons, but additionally the exact information about location and size of the manufacturing defects of the respective piston. We show that the detection rate based on the video encoded projection data is, up to a certain threshold, as good as without compression.
{"title":"The impact of H.264/AVC on compression and non-destructive evaluation of piston data in industrial Computed Tomography","authors":"Alexander Ditter, D. Fey, Tobias Schon, Maik Luxa, Roland Gruber","doi":"10.1109/IST.2013.6729699","DOIUrl":"https://doi.org/10.1109/IST.2013.6729699","url":null,"abstract":"The application of video encoding for the compression of Computed Tomography (CT) based projection images is very promising with respect to a more efficient transmission and storage of this particular type of data. Especially the use of “off-the-shelf” technologies, such as the H.264/AVC codec, ensures long term support due to its widespread use in the media industry. We present an approach for the application of this standard 8-bit video codec even for 16-bit projection data sets. Based on a benchmark set of 200 pistons, we evaluate its performance in terms of the compression rate relative to the original input data. Furthermore, we compare the detection rate of manufacturing defects in the reconstructed volumes to the state-of-the-art technique without video encoding. For this purpose our benchmark does not only contain the projections of the 200 pistons, but additionally the exact information about location and size of the manufacturing defects of the respective piston. We show that the detection rate based on the video encoded projection data is, up to a certain threshold, as good as without compression.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134121932","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}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729696
Feilong Ji, Jie Jiang, Xinguo Wei
Star pattern identification algorithms have employed widely to identify observed stars by star trackers which require reliabilities and adaptivities of algorithms. However, the noises especially the number of stars in field of view (FOV) are still serious problems for primitive star pattern algorithms. A novel algorithm of unified redundant patterns, which are combined with novel redundant neighbor patterns and redundant radial patterns, for star trackers in the “lost in space” mode is presented. Since neighbor patterns and radial patterns describe two different distributions, the distributions between neighbor stars each other and the distributions in the radial direction respectively, and constructed with similar redundant coding solution, they are combined to unified redundant patterns and stored by binary bit strings which reduce memory requirement of on-board database significantly. For the pattern redundancies and combinations, as well as similar score measurement applying patterns synthetically other than multiple-step match, consequently, the proposed algorithm is robust to the star positional noise, magnitude noise and performs still well when sparse stars are in FOV. When evaluated with synthesized star images, our algorithm can obtain identification rates of 99.14% (positional noise is 0.4 pixels). When there are only 4 stars in FOV, the algorithm can still obtain identification rate of 77.03%, much higher than the other star pattern identification algorithms.
{"title":"Unified redundant patterns for star identification","authors":"Feilong Ji, Jie Jiang, Xinguo Wei","doi":"10.1109/IST.2013.6729696","DOIUrl":"https://doi.org/10.1109/IST.2013.6729696","url":null,"abstract":"Star pattern identification algorithms have employed widely to identify observed stars by star trackers which require reliabilities and adaptivities of algorithms. However, the noises especially the number of stars in field of view (FOV) are still serious problems for primitive star pattern algorithms. A novel algorithm of unified redundant patterns, which are combined with novel redundant neighbor patterns and redundant radial patterns, for star trackers in the “lost in space” mode is presented. Since neighbor patterns and radial patterns describe two different distributions, the distributions between neighbor stars each other and the distributions in the radial direction respectively, and constructed with similar redundant coding solution, they are combined to unified redundant patterns and stored by binary bit strings which reduce memory requirement of on-board database significantly. For the pattern redundancies and combinations, as well as similar score measurement applying patterns synthetically other than multiple-step match, consequently, the proposed algorithm is robust to the star positional noise, magnitude noise and performs still well when sparse stars are in FOV. When evaluated with synthesized star images, our algorithm can obtain identification rates of 99.14% (positional noise is 0.4 pixels). When there are only 4 stars in FOV, the algorithm can still obtain identification rate of 77.03%, much higher than the other star pattern identification algorithms.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125232321","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}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729711
Haigang Wang, G. Qiu, Wuqiang Yang
To investigate the gas-solid flows in a circulating fluidised bed with multi-cyclone separators, a circular ECT sensor and rectangular ECT sensor are designed and used to measure the solids distribution in a cross-section in the inlet and standpipe of cyclone separator respectively. The rectangular ECT sensor has 12 electrodes with two in each shorter side and four in each longer side. The circular ECT sensor has 8 electrodes. For image reconstruction, sensitivity maps have been calculated using a simulation package, Maxwell from Ansoft. Dynamics test of CFB processes with different fluidisation velocity are given both in the inlet and downwards standpipe of the cyclone. ECT test results are given and analyzed and compared with pressure measurement results.
{"title":"Investigation of the gas-solid flows in a circulating fludisied bed with multi-cyclone separators by electrical capacitance tomography","authors":"Haigang Wang, G. Qiu, Wuqiang Yang","doi":"10.1109/IST.2013.6729711","DOIUrl":"https://doi.org/10.1109/IST.2013.6729711","url":null,"abstract":"To investigate the gas-solid flows in a circulating fluidised bed with multi-cyclone separators, a circular ECT sensor and rectangular ECT sensor are designed and used to measure the solids distribution in a cross-section in the inlet and standpipe of cyclone separator respectively. The rectangular ECT sensor has 12 electrodes with two in each shorter side and four in each longer side. The circular ECT sensor has 8 electrodes. For image reconstruction, sensitivity maps have been calculated using a simulation package, Maxwell from Ansoft. Dynamics test of CFB processes with different fluidisation velocity are given both in the inlet and downwards standpipe of the cyclone. ECT test results are given and analyzed and compared with pressure measurement results.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127791250","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}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729708
Yu Liu, Zengfu Wang
Pan-sharpening is an important remote sensing image pre-processing technique, which aims at obtaining a high-resolution multispectral (HRM) image by integrating the spectral information of a low-resolution multispectral (LRM) image and the spatial details of a high-resolution panchromatic (HRP) image. This paper proposes a new pan-sharpening method with sparse representation (SR) under the framework of wavelet transform. First, the wavelet transform is applied to the HRP image and the intensity component of LRM image. Then, the low-frequency components are fused based on SR to extract the spatial details in the HRP image as much as possible, and the dictionary is simply learned from high-quality nature images. Moreover, a novel strategy is also proposed to preserve the spectral information in the LRM image. On the other hand, the “numerous-but-sparse” high-frequency components are merged based on the local wavelet energy, which makes the algorithm more efficient than traditional SR-based methods. Finally, the fused result is obtained by performing inverse wavelet transform and inverse IHS transform. Experiments on WorldView-2 images demonstrate that the proposed method gives more spatial details and less spectral distortion compared with some conventional methods in terms of both visual quality and objective measurements.
{"title":"A practical pan-sharpening method with wavelet transform and sparse representation","authors":"Yu Liu, Zengfu Wang","doi":"10.1109/IST.2013.6729708","DOIUrl":"https://doi.org/10.1109/IST.2013.6729708","url":null,"abstract":"Pan-sharpening is an important remote sensing image pre-processing technique, which aims at obtaining a high-resolution multispectral (HRM) image by integrating the spectral information of a low-resolution multispectral (LRM) image and the spatial details of a high-resolution panchromatic (HRP) image. This paper proposes a new pan-sharpening method with sparse representation (SR) under the framework of wavelet transform. First, the wavelet transform is applied to the HRP image and the intensity component of LRM image. Then, the low-frequency components are fused based on SR to extract the spatial details in the HRP image as much as possible, and the dictionary is simply learned from high-quality nature images. Moreover, a novel strategy is also proposed to preserve the spectral information in the LRM image. On the other hand, the “numerous-but-sparse” high-frequency components are merged based on the local wavelet energy, which makes the algorithm more efficient than traditional SR-based methods. Finally, the fused result is obtained by performing inverse wavelet transform and inverse IHS transform. Experiments on WorldView-2 images demonstrate that the proposed method gives more spatial details and less spectral distortion compared with some conventional methods in terms of both visual quality and objective measurements.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114365608","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}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729703
Vassilios Vonikakis, R. Kouskouridas, A. Gasteratos
This paper presents a new comparison framework, with the view to help researchers in selecting the most appropriate illumination compensation algorithm to serve as a preprocessing step in computer vision applications. The main objective of this framework is to reveal the positive and negative characteristics of the algorithms, rather than providing a single metric to rank their overall performance. The comparison tests, that comprise the proposed framework, aim to quantitatively evaluate the efficiency of algorithms in diminishing the effects of illumination in images. The proposed framework utilizes synthetic images, with artificial illumination degradations, which are enhanced by the tested algorithms. It represents a useful tool for the selection of illumination compensation algorithms as preprocessing in other applications, due to (a) its quantitative nature, (b) its easy implementation and (c) its useful estimations regarding many algorithm characteristics.
{"title":"A comparison framework for the evaluation of illumination compensation algorithms","authors":"Vassilios Vonikakis, R. Kouskouridas, A. Gasteratos","doi":"10.1109/IST.2013.6729703","DOIUrl":"https://doi.org/10.1109/IST.2013.6729703","url":null,"abstract":"This paper presents a new comparison framework, with the view to help researchers in selecting the most appropriate illumination compensation algorithm to serve as a preprocessing step in computer vision applications. The main objective of this framework is to reveal the positive and negative characteristics of the algorithms, rather than providing a single metric to rank their overall performance. The comparison tests, that comprise the proposed framework, aim to quantitatively evaluate the efficiency of algorithms in diminishing the effects of illumination in images. The proposed framework utilizes synthetic images, with artificial illumination degradations, which are enhanced by the tested algorithms. It represents a useful tool for the selection of illumination compensation algorithms as preprocessing in other applications, due to (a) its quantitative nature, (b) its easy implementation and (c) its useful estimations regarding many algorithm characteristics.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115066305","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}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729719
Shangchen Fu, Li-hua Shi
Lamb wave has received widely attention in structural health monitoring (SHM). However, due to its multi-mode character and dispersion effect, the damage positioning and imaging resolution are limited. Besides Narrowband wave, which is usually adopted as excitation in Lamb wave detecting, broadband signal can also be chosen as excitation, with which plenty of signals can be obtained in one test to strengthen the brightness of damages by superposition. Warped frequency transform (WFT) is a new method based on group velocity dispersion curves, which can directly used to the received signals to suppress the dispersion and turn the signal to distance domain. In this paper, a new high-resolution method is proposed base on warped frequency transform and broadband excitation. The propagation of Lamb waves in damaged aluminum plate is simulated by finite element software ABAQUS, results show that high resolution images can be obtained with the proposed method.
{"title":"A high-resolution imaging method based on broadband excitation and warped frequency transform","authors":"Shangchen Fu, Li-hua Shi","doi":"10.1109/IST.2013.6729719","DOIUrl":"https://doi.org/10.1109/IST.2013.6729719","url":null,"abstract":"Lamb wave has received widely attention in structural health monitoring (SHM). However, due to its multi-mode character and dispersion effect, the damage positioning and imaging resolution are limited. Besides Narrowband wave, which is usually adopted as excitation in Lamb wave detecting, broadband signal can also be chosen as excitation, with which plenty of signals can be obtained in one test to strengthen the brightness of damages by superposition. Warped frequency transform (WFT) is a new method based on group velocity dispersion curves, which can directly used to the received signals to suppress the dispersion and turn the signal to distance domain. In this paper, a new high-resolution method is proposed base on warped frequency transform and broadband excitation. The propagation of Lamb waves in damaged aluminum plate is simulated by finite element software ABAQUS, results show that high resolution images can be obtained with the proposed method.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128173437","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}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729673
G. Livanos, M. Zervakis, G. Giakos
The HER2/neu oncogene is notable both for its role in the pathogenesis of breast cancer and its role as a target of treatment. Qualitative or quantitative protein evaluation has been achieved using immunohistochemistry (IHC) on frozen and archival tissues, a widely adopted technique due to the standardization of the internal procedural steps and its easy and low-cost applicability to any laboratory. The goal of the present study is to introduce an efficient tool for the automated detection of HER2 protein overexpression in tissues, providing accurate, instant, yet objective interpretation outcomes through a formalized procedure. The comparison of results with classifications by specialists who evaluated the same tissue samples dataset confirms the efficiency and prospect of the methodology.
{"title":"Automated analysis of immunohistochemical images based on curve evolution approaches","authors":"G. Livanos, M. Zervakis, G. Giakos","doi":"10.1109/IST.2013.6729673","DOIUrl":"https://doi.org/10.1109/IST.2013.6729673","url":null,"abstract":"The HER2/neu oncogene is notable both for its role in the pathogenesis of breast cancer and its role as a target of treatment. Qualitative or quantitative protein evaluation has been achieved using immunohistochemistry (IHC) on frozen and archival tissues, a widely adopted technique due to the standardization of the internal procedural steps and its easy and low-cost applicability to any laboratory. The goal of the present study is to introduce an efficient tool for the automated detection of HER2 protein overexpression in tissues, providing accurate, instant, yet objective interpretation outcomes through a formalized procedure. The comparison of results with classifications by specialists who evaluated the same tissue samples dataset confirms the efficiency and prospect of the methodology.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127287468","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}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729704
ShunDa Lin
The purpose of this paper is to study a new method of de-noising images corrupted with additive white Gaussian noise. Based on the Chen-Mobius transform, the idea of modulation and demodulation in Chen-Mobius communication system is applied in the image de-noising. The evaluation results of the Chen-Mobius transform of some often-used waveforms are applied in the anti-noise of image. For image de-noising, the data is modulated on a modulation wave for some period and recorded by a certain means, then the data can be carried everywhere. To make such a processing, the Chen-Mobius inverse transformed functions act as the “modulation” waveforms and the receiving end is coherently “demodulated” by the often-used digital waveforms. Simulation results are discussed in some detail. It shows that the new application has excellent performances that the digital image signals can be restored from intense Gaussian noise. Here, to prove the performance of the proposed method, the results are compared with other existent methods or algorithms such as hard and soft threshold based on wavelet. The simulation results on several testing images indicate that the proposed method outperforms the other methods in peak signal to noise ratio and keeps better visual in edges information reservation as well. The results also suggest that Chen-Mobius transform can achieve a better performance than the wavelet transform in image de-noising.
{"title":"A new method for image de-noising on the basis of Chen-Mobius transform","authors":"ShunDa Lin","doi":"10.1109/IST.2013.6729704","DOIUrl":"https://doi.org/10.1109/IST.2013.6729704","url":null,"abstract":"The purpose of this paper is to study a new method of de-noising images corrupted with additive white Gaussian noise. Based on the Chen-Mobius transform, the idea of modulation and demodulation in Chen-Mobius communication system is applied in the image de-noising. The evaluation results of the Chen-Mobius transform of some often-used waveforms are applied in the anti-noise of image. For image de-noising, the data is modulated on a modulation wave for some period and recorded by a certain means, then the data can be carried everywhere. To make such a processing, the Chen-Mobius inverse transformed functions act as the “modulation” waveforms and the receiving end is coherently “demodulated” by the often-used digital waveforms. Simulation results are discussed in some detail. It shows that the new application has excellent performances that the digital image signals can be restored from intense Gaussian noise. Here, to prove the performance of the proposed method, the results are compared with other existent methods or algorithms such as hard and soft threshold based on wavelet. The simulation results on several testing images indicate that the proposed method outperforms the other methods in peak signal to noise ratio and keeps better visual in edges information reservation as well. The results also suggest that Chen-Mobius transform can achieve a better performance than the wavelet transform in image de-noising.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130447703","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}
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