Pub Date : 2013-10-01DOI: 10.1109/ICSIPA.2013.6708020
A. Mezache, I. Chalabi
In order to improve the estimation of the RiIG (Rician Inverse Gaussian) model parameters, the authors attempt to achieve the parameter estimates using the inverse function of the RiIG CDF (Cumulative Distributed Function) which the latter can not be obtained in a closed form. However, the ANN (Artificial Neural Network) technique is preferred which has the ability to approximate this nonlinear complexity. From recorded sea-clutter data, the regressions of the real CDF are used at the input layer of the ANN estimator. The weights of the network are optimized in real time by means of the genetic algorithm (GA) tool. The mean square error of estimates (MSE) criterion is considered to assess the estimation performance. For almost cases, the experimental results show that adopting the proposed scheme of the ANN estimator turns out the best parameter estimates and also allows a better matching of real CDF and real PDF (Probability density Function) than the standard IMLM (Iterative Maximum Likelihood Method) estimator.
{"title":"Estimation of the RiIG-distribution parameters using the Artificial Neural Networks","authors":"A. Mezache, I. Chalabi","doi":"10.1109/ICSIPA.2013.6708020","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6708020","url":null,"abstract":"In order to improve the estimation of the RiIG (Rician Inverse Gaussian) model parameters, the authors attempt to achieve the parameter estimates using the inverse function of the RiIG CDF (Cumulative Distributed Function) which the latter can not be obtained in a closed form. However, the ANN (Artificial Neural Network) technique is preferred which has the ability to approximate this nonlinear complexity. From recorded sea-clutter data, the regressions of the real CDF are used at the input layer of the ANN estimator. The weights of the network are optimized in real time by means of the genetic algorithm (GA) tool. The mean square error of estimates (MSE) criterion is considered to assess the estimation performance. For almost cases, the experimental results show that adopting the proposed scheme of the ANN estimator turns out the best parameter estimates and also allows a better matching of real CDF and real PDF (Probability density Function) than the standard IMLM (Iterative Maximum Likelihood Method) estimator.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"NS24 10 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":"134423219","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/ICSIPA.2013.6707975
S. Hussain, Sami M. Gorashi
An algorithm for denoising images polluted by high impulse noise density rate is proposed in this paper. The proposed algorithm is specifically designed to stand against burst of impulses. In such a case, the test window is filled with impulses due to its initial limited size(typically 3×3). As a result, the standard median filter fails completely in recovering corrupted pixel. To remedy this effect, larger test window size is used to increase the probability of removing the effect of impulse bursts. Thereafter, all impulses are removed from the test window, and a trimmed mean with 25% of outlier exclusion for the rest noise free pixels is used to replace the corrupted pixel. The experimental results show that the performance of the proposed algorithm is superior to that of the conventional state-of-the-art denoising approach.
{"title":"Robust outliers exclusion for high density impulse noise suppression algorithm","authors":"S. Hussain, Sami M. Gorashi","doi":"10.1109/ICSIPA.2013.6707975","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6707975","url":null,"abstract":"An algorithm for denoising images polluted by high impulse noise density rate is proposed in this paper. The proposed algorithm is specifically designed to stand against burst of impulses. In such a case, the test window is filled with impulses due to its initial limited size(typically 3×3). As a result, the standard median filter fails completely in recovering corrupted pixel. To remedy this effect, larger test window size is used to increase the probability of removing the effect of impulse bursts. Thereafter, all impulses are removed from the test window, and a trimmed mean with 25% of outlier exclusion for the rest noise free pixels is used to replace the corrupted pixel. The experimental results show that the performance of the proposed algorithm is superior to that of the conventional state-of-the-art denoising approach.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"362 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":"123192877","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/ICSIPA.2013.6707982
S. A. Bakar, M. S. Hitam, W. Yussof
This paper presents an alternative approach for Content Based Image Retrieval (CBIR) using Scale Invariant Feature Transform (SIFT) algorithm for binary and gray scale images. The motivation to use SIFT algorithm for CBIR is due to the fact that SIFT is invariant to scale, rotation and translation as well as partially invariant to affine distortion and illumination changes. Inspired by these facts, this paper investigates the fundamental properties of SIFT for robust CBIR by using MPEG-7, COIL-20 and ZuBuD image databases. Our approach uses detected keypoints and its descriptors to match between the query images and images from the database. Our experimental results show that the proposed CBIR using SIFT algorithm producing excellent retrieval result for images with many corners as compared to retrieving image with less corners.
{"title":"Content-Based Image Retrieval using SIFT for binary and greyscale images","authors":"S. A. Bakar, M. S. Hitam, W. Yussof","doi":"10.1109/ICSIPA.2013.6707982","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6707982","url":null,"abstract":"This paper presents an alternative approach for Content Based Image Retrieval (CBIR) using Scale Invariant Feature Transform (SIFT) algorithm for binary and gray scale images. The motivation to use SIFT algorithm for CBIR is due to the fact that SIFT is invariant to scale, rotation and translation as well as partially invariant to affine distortion and illumination changes. Inspired by these facts, this paper investigates the fundamental properties of SIFT for robust CBIR by using MPEG-7, COIL-20 and ZuBuD image databases. Our approach uses detected keypoints and its descriptors to match between the query images and images from the database. Our experimental results show that the proposed CBIR using SIFT algorithm producing excellent retrieval result for images with many corners as compared to retrieving image with less corners.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"31 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":"121168519","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/ICSIPA.2013.6708035
Z. May, Siti Sarah Azreen Mohd Aziz, Rabi'ahtuladawiah Salamat
Malaria is a life threatening disease caused by mosquitoes of Anopheles genus that carries the plasmodium parasites. Malaria parasites identification is currently done based on patient's symptoms and parasitological testing. Both methods have several drawbacks such as limited access to microscopy experts especially in rural area practice, restricted diagnostic facilities and costly. This paper presents an approach to automatically quantify and classify erythrocytes infected by Plasmodium vivax at trophozoites stages in thin blood smears. Experimentation is conducted in MATLAB environment specifically using the Image Processing Toolbox. Tasks are divided into three main stages namely image preprocessing, segmentation and classification. In preprocessing, images were first converted to L*a*b* color space and then filtered to remove noises. For segmentation stage, a threshold for each image was calculated using Otsu method. Further, dilation and erosion were performed to completely remove background elements. In the classification stage, images were classified based on the number of infected red blood cell detected. Testing performed using 350 images yielded in 99.72% sensitivity, 99.94% specificity and 98.90% positive predictive value. Results proved that this proposed method is highly potential for automated malaria parasites identification system.
{"title":"Automated quantification and classification of malaria parasites in thin blood smears","authors":"Z. May, Siti Sarah Azreen Mohd Aziz, Rabi'ahtuladawiah Salamat","doi":"10.1109/ICSIPA.2013.6708035","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6708035","url":null,"abstract":"Malaria is a life threatening disease caused by mosquitoes of Anopheles genus that carries the plasmodium parasites. Malaria parasites identification is currently done based on patient's symptoms and parasitological testing. Both methods have several drawbacks such as limited access to microscopy experts especially in rural area practice, restricted diagnostic facilities and costly. This paper presents an approach to automatically quantify and classify erythrocytes infected by Plasmodium vivax at trophozoites stages in thin blood smears. Experimentation is conducted in MATLAB environment specifically using the Image Processing Toolbox. Tasks are divided into three main stages namely image preprocessing, segmentation and classification. In preprocessing, images were first converted to L*a*b* color space and then filtered to remove noises. For segmentation stage, a threshold for each image was calculated using Otsu method. Further, dilation and erosion were performed to completely remove background elements. In the classification stage, images were classified based on the number of infected red blood cell detected. Testing performed using 350 images yielded in 99.72% sensitivity, 99.94% specificity and 98.90% positive predictive value. Results proved that this proposed method is highly potential for automated malaria parasites identification system.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"36 2 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":"126068378","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/ICSIPA.2013.6708034
A. Abbas, R. Logeswaran, Xiaoning Guo, W. Tan
This paper proposes an efficient way to effectively segment malignant melanoma in color dermoscopy images. A combination of methods are used in the proposed technique, including smoothing filters, PSNR, Spline, edge detection, morphological operations and segmentation. The pre-processing step eliminates noise, smoothes the image and employs the spline function to improve edge detection, while morphological operations are used to segment the lesion from image. Manual boundary selection is used as benchmark to test the accuracy of the automatic boundary selection by the proposed algorithm. The evaluation results show that the proposed method (Bilt-Sp) is able to achieve a good accuracy of 96.26%, supporting the effectiveness of the proposed method in automatically detecting skin lesions.
{"title":"Lesion border detection in dermoscopy images using bilateral filter","authors":"A. Abbas, R. Logeswaran, Xiaoning Guo, W. Tan","doi":"10.1109/ICSIPA.2013.6708034","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6708034","url":null,"abstract":"This paper proposes an efficient way to effectively segment malignant melanoma in color dermoscopy images. A combination of methods are used in the proposed technique, including smoothing filters, PSNR, Spline, edge detection, morphological operations and segmentation. The pre-processing step eliminates noise, smoothes the image and employs the spline function to improve edge detection, while morphological operations are used to segment the lesion from image. Manual boundary selection is used as benchmark to test the accuracy of the automatic boundary selection by the proposed algorithm. The evaluation results show that the proposed method (Bilt-Sp) is able to achieve a good accuracy of 96.26%, supporting the effectiveness of the proposed method in automatically detecting skin lesions.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"48 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":"114492513","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/ICSIPA.2013.6708047
S. Alawsh, A. Muqaibel
Ultra-wideband (UWB) radios are candidates for high data rate and power-constrained applications such as wireless sensor and body area networks. Compressive sensing (CS) is a promising signal processing solution which can reduce the sampling requirements as well as avoid the narrowband interference (NBI) in UWB systems by utilizing the sparsity of the transmitted signal. In this paper, we investigate the BER performance for mitigation of multiple NBI in CS based UWB systems. Simulation shows that at high signal to interference ration (SIR), the performance enhances as the bandwidth of the NBI increases. As the UWB signal's bandwidth increases, the number of the notched measurements lessens and we preserve the important information about the transmitted pulse. Additionally, the bandwidth occupied by the NBI relative to the center frequency of the transmitted pulse determines the amount of the degradation in the performance. In addition, the paper studies the impact of the transmitted pulse shape.
{"title":"Compressive sensing for blind NBI mitigation in UWB systems","authors":"S. Alawsh, A. Muqaibel","doi":"10.1109/ICSIPA.2013.6708047","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6708047","url":null,"abstract":"Ultra-wideband (UWB) radios are candidates for high data rate and power-constrained applications such as wireless sensor and body area networks. Compressive sensing (CS) is a promising signal processing solution which can reduce the sampling requirements as well as avoid the narrowband interference (NBI) in UWB systems by utilizing the sparsity of the transmitted signal. In this paper, we investigate the BER performance for mitigation of multiple NBI in CS based UWB systems. Simulation shows that at high signal to interference ration (SIR), the performance enhances as the bandwidth of the NBI increases. As the UWB signal's bandwidth increases, the number of the notched measurements lessens and we preserve the important information about the transmitted pulse. Additionally, the bandwidth occupied by the NBI relative to the center frequency of the transmitted pulse determines the amount of the degradation in the performance. In addition, the paper studies the impact of the transmitted pulse shape.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","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":"129332490","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/ICSIPA.2013.6708038
Gabriel Pablo Nava, Y. Kamamoto, Takashi G. Sato, Yoshifumi Shiraki, N. Harada, T. Moriya
Optical communication through light-emitting diodes (LEDs) and video cameras is rapidly gaining attention due to the increasing pervassiveness of those devices, and because of its potential data capacity. However, the communication quality is greatly compromised by the low resolution of the imaging sensor which produces blurred images of the LEDs at long distances. On the other hand, the images recorded at high frame rates possess particular features that can be used to improve the reception. This paper suggests image processing techniques to detect and decode the optical signals of an array of LEDs. For the case of blurred images, detection of the LED's is reinforced by a k-means clustering algorithm based on distance measurements derived from the linear correlation among pixel intensities along the time dimension. Experiments with a prototype show that the proposed algorithms can improve the bit error rate (BER) of the decoded signal. Furthermore, partial implementation on a General Purpose Graphics Processing Unit (GPGPU) is also addressed, and processing times are demonstrated.
{"title":"Image processing techniques for high speed camera-based free-field optical communication","authors":"Gabriel Pablo Nava, Y. Kamamoto, Takashi G. Sato, Yoshifumi Shiraki, N. Harada, T. Moriya","doi":"10.1109/ICSIPA.2013.6708038","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6708038","url":null,"abstract":"Optical communication through light-emitting diodes (LEDs) and video cameras is rapidly gaining attention due to the increasing pervassiveness of those devices, and because of its potential data capacity. However, the communication quality is greatly compromised by the low resolution of the imaging sensor which produces blurred images of the LEDs at long distances. On the other hand, the images recorded at high frame rates possess particular features that can be used to improve the reception. This paper suggests image processing techniques to detect and decode the optical signals of an array of LEDs. For the case of blurred images, detection of the LED's is reinforced by a k-means clustering algorithm based on distance measurements derived from the linear correlation among pixel intensities along the time dimension. Experiments with a prototype show that the proposed algorithms can improve the bit error rate (BER) of the decoded signal. Furthermore, partial implementation on a General Purpose Graphics Processing Unit (GPGPU) is also addressed, and processing times are demonstrated.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"44 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":"130053730","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/ICSIPA.2013.6708011
Nuhu Aliyu Shuaibu, I. Faye, M. Simsim, A. Malik
Pedestrian agent performing Tawaf is modelled using the concept of parameterization of spiral. The agents are set at defined velocities on spiral trajectory, moving counter clockwise mode inward and outward for decreasing and increasing radii. We present a new trajectory path planning that simulates the movement of individual agents performing Tawaf. Our aim is to simulate complex scenarios involving multiple agents interacting with each other and avoiding collision within a defined path. The simulation was carried out for two proposed approaches; Spiral movement of agents for seven lapses in order of four inward and three outward (4in_3out) and undirected movement in circular pattern. An agent flow optimization comparison was carried out between the proposed methods for agents flow rate, average velocity, Tawaf duration and maximum densities of pedestrians. We found that the spiral movement 4in_3out presents better Tawaf ritual performance with durations of 38 minutes and average density of 4.2 agents per square meter.
{"title":"Spiral path simulation of pedestrian flow during Tawaf","authors":"Nuhu Aliyu Shuaibu, I. Faye, M. Simsim, A. Malik","doi":"10.1109/ICSIPA.2013.6708011","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6708011","url":null,"abstract":"Pedestrian agent performing Tawaf is modelled using the concept of parameterization of spiral. The agents are set at defined velocities on spiral trajectory, moving counter clockwise mode inward and outward for decreasing and increasing radii. We present a new trajectory path planning that simulates the movement of individual agents performing Tawaf. Our aim is to simulate complex scenarios involving multiple agents interacting with each other and avoiding collision within a defined path. The simulation was carried out for two proposed approaches; Spiral movement of agents for seven lapses in order of four inward and three outward (4in_3out) and undirected movement in circular pattern. An agent flow optimization comparison was carried out between the proposed methods for agents flow rate, average velocity, Tawaf duration and maximum densities of pedestrians. We found that the spiral movement 4in_3out presents better Tawaf ritual performance with durations of 38 minutes and average density of 4.2 agents per square meter.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"14 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":"116114720","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/ICSIPA.2013.6707985
M. Baadeche, F. Soltani
In this paper, we analyze the performance of the MOSCA-CFAR (Mean of OS and CA-CFAR), the SOSCA-CFAR (Smallest of OS and CA-CFAR) and the OSCAGO-CFAR (OS and CA-CFAR Greatest Of) detectors in homogeneous and non-homogeneous environments. The non-homogeneity is modelled by the presence of interfering targets in the reference window. In the presence of interfering targets in both windows the performances of these detectors degrade seriously. To overcome this problem we propose the GSOSCA-CFAR (Generalized Smallest of OS and CA-CFAR). Compared to the OS-CFAR, this detector performs better especially when the number of interfering is high.
{"title":"Performance comparison of some CFAR detectors in homogenous and non-homogenous clutter","authors":"M. Baadeche, F. Soltani","doi":"10.1109/ICSIPA.2013.6707985","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6707985","url":null,"abstract":"In this paper, we analyze the performance of the MOSCA-CFAR (Mean of OS and CA-CFAR), the SOSCA-CFAR (Smallest of OS and CA-CFAR) and the OSCAGO-CFAR (OS and CA-CFAR Greatest Of) detectors in homogeneous and non-homogeneous environments. The non-homogeneity is modelled by the presence of interfering targets in the reference window. In the presence of interfering targets in both windows the performances of these detectors degrade seriously. To overcome this problem we propose the GSOSCA-CFAR (Generalized Smallest of OS and CA-CFAR). Compared to the OS-CFAR, this detector performs better especially when the number of interfering is high.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"46 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":"123302951","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/ICSIPA.2013.6707965
P. Moulin
Watermarking, fingerprinting, and steganography applications require the secure embedding of information bits into a cover signal (such as audio, video, still images, etc.) This talk will present the fundamental concepts and outline practical approaches to such problems. First an overview of applications is given, ranging from Digital rights management to content authentication, transaction tracking, and database annotation. Then the fundamental notions pertaining to information embedding into cover signals are presented, namely signal fidelity, robustness against an adversary, and payload. An information-theoretic model is presented for a generic data hiding problem. Analysis of this model yields the notion of data-hiding capacity and sheds light into what is the structure of good data-hiding codes. Spread-spectrum and binning codes are discussed in this context. The final part of the talk shows an application of the theory to a problem of hiding data in an image.
{"title":"Keynote speaker III: Information embedding: From theory to practice","authors":"P. Moulin","doi":"10.1109/ICSIPA.2013.6707965","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6707965","url":null,"abstract":"Watermarking, fingerprinting, and steganography applications require the secure embedding of information bits into a cover signal (such as audio, video, still images, etc.) This talk will present the fundamental concepts and outline practical approaches to such problems. First an overview of applications is given, ranging from Digital rights management to content authentication, transaction tracking, and database annotation. Then the fundamental notions pertaining to information embedding into cover signals are presented, namely signal fidelity, robustness against an adversary, and payload. An information-theoretic model is presented for a generic data hiding problem. Analysis of this model yields the notion of data-hiding capacity and sheds light into what is the structure of good data-hiding codes. Spread-spectrum and binning codes are discussed in this context. The final part of the talk shows an application of the theory to a problem of hiding data in an image.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"161 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":"123414168","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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