Pub Date : 1900-01-01DOI: 10.1109/SPACES.2015.7058263
P. Kishore, S. Kishore, E. K. Kumar, K. Kumar, P. Aparna
Medical images communicate imperative information to the doctors about a patient's health situation. Internet broadcasts these medical images to inaccessible sites of the globe which are inspected by specialist doctors. But data transmissions through unsecured web invoke validation problems for any image data. Medical images that are transmitted through the internet must be watermarked with patient pictures for substantiation by the doctors to ascertain the medical image. Watermarking medical images necessitate attentive adjustments to protect the information in the medical images with patient image watermarks. The medical images are used as an envelope image in the watermarking process which is visible on the network. These envelope medical images are watermarked with patient images in wavelet domain there by using the BAT algorithm form optimizing the embedding process for peak signal to noise ratio (psnr) and normalized cross correlation coefficient (ncc) values. The medical image envelope and letter inside envelope i.e. watermark image are transformed into wavelet domain and are mixed using scaling factor alpha which is termed as embedding strength. BAT algorithm is an optimization algorithm specialized in optimizing the values of peak-signal-to-noise ratio for a particular value of alpha, the embedding watermark strength. Finally these watermarked medical images are put on the network along with the secret key that will be used for extraction. At the receiving the embedded watermark is extracted using 2DWT using the embedding strength value using BAT algorithm. The robustness of the proposed watermarking techniques is tested with various attacks on the watermarked medical images. Peak-Signal-to-Noise ratios and Normalized cross correlation coefficients are computed to accesses the quality of the watermarked medical images and extracted patient images. The results are produced for three types of medical images with one patient image watermarks using single key by using four wavelets (haar, db, symlets, bior) at four different levels.
{"title":"Medical image watermarking with DWT-BAT algorithm","authors":"P. Kishore, S. Kishore, E. K. Kumar, K. Kumar, P. Aparna","doi":"10.1109/SPACES.2015.7058263","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058263","url":null,"abstract":"Medical images communicate imperative information to the doctors about a patient's health situation. Internet broadcasts these medical images to inaccessible sites of the globe which are inspected by specialist doctors. But data transmissions through unsecured web invoke validation problems for any image data. Medical images that are transmitted through the internet must be watermarked with patient pictures for substantiation by the doctors to ascertain the medical image. Watermarking medical images necessitate attentive adjustments to protect the information in the medical images with patient image watermarks. The medical images are used as an envelope image in the watermarking process which is visible on the network. These envelope medical images are watermarked with patient images in wavelet domain there by using the BAT algorithm form optimizing the embedding process for peak signal to noise ratio (psnr) and normalized cross correlation coefficient (ncc) values. The medical image envelope and letter inside envelope i.e. watermark image are transformed into wavelet domain and are mixed using scaling factor alpha which is termed as embedding strength. BAT algorithm is an optimization algorithm specialized in optimizing the values of peak-signal-to-noise ratio for a particular value of alpha, the embedding watermark strength. Finally these watermarked medical images are put on the network along with the secret key that will be used for extraction. At the receiving the embedded watermark is extracted using 2DWT using the embedding strength value using BAT algorithm. The robustness of the proposed watermarking techniques is tested with various attacks on the watermarked medical images. Peak-Signal-to-Noise ratios and Normalized cross correlation coefficients are computed to accesses the quality of the watermarked medical images and extracted patient images. The results are produced for three types of medical images with one patient image watermarks using single key by using four wavelets (haar, db, symlets, bior) at four different levels.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122669140","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 : 1900-01-01DOI: 10.1109/SPACES.2015.7058260
C. Rekha, K. Manjunathachari, G. Rao
In image processing noise removal is the strenuous tasks. Noise removal forms one of the applications of segmentation. It is also the basic tool for the medical diagnosis. It helps the medical practitioner to extract the defected organ easily and give a proper diagnosis. The present scenario is to concentrate on extracting the desired tissue from the noisy image obtained through ultrasound scanning methods. Ultrasound images are the predominantly used scanning approaches because of their low-cost and non-invasive nature. Elimination of the speckle from ultrasound is the demanding aspect. This paper focuses on various researches on speckle removal in ultrasound images. Emphasis is made on which method best removes the speckle noise by measuring various parameters such as signal to noise ratio, efficiency, etc,. In this paper it is also proposed to use a well-defined and well framed approach to reduce speckle noise in ultrasound images and improve signal to noise ratio of the obtained image compared to existing methods.
{"title":"Speckle noise reduction in 3D ultrasound images — A review","authors":"C. Rekha, K. Manjunathachari, G. Rao","doi":"10.1109/SPACES.2015.7058260","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058260","url":null,"abstract":"In image processing noise removal is the strenuous tasks. Noise removal forms one of the applications of segmentation. It is also the basic tool for the medical diagnosis. It helps the medical practitioner to extract the defected organ easily and give a proper diagnosis. The present scenario is to concentrate on extracting the desired tissue from the noisy image obtained through ultrasound scanning methods. Ultrasound images are the predominantly used scanning approaches because of their low-cost and non-invasive nature. Elimination of the speckle from ultrasound is the demanding aspect. This paper focuses on various researches on speckle removal in ultrasound images. Emphasis is made on which method best removes the speckle noise by measuring various parameters such as signal to noise ratio, efficiency, etc,. In this paper it is also proposed to use a well-defined and well framed approach to reduce speckle noise in ultrasound images and improve signal to noise ratio of the obtained image compared to existing methods.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114787011","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 : 1900-01-01DOI: 10.1109/SPACES.2015.7058287
R. Rasu, P. S. Sundaram, N. Santhiyakumari
The aim of this paper is to extract the Fetal Electrocardiogram (FECG) signal from the mother's abdomen signal which is an important signal to analyze the abnormalities of the fetal heart by a physician. Fetal ECG is extracted from the mother's abdomen by using least-mean-square (LMS) adaptive filter based on the FIR filter coefficients. This FECG is used to calculate the fetal heart beat and the period of the signal based on our estimation. By using this system FECG can be taken after the pregnancy of 20 weeks. To take FECG in real time, maternal woman should wear a wide belt around her abdomen which is fitted with several ECG electrodes. The data collected from the electrodes are sent to a system and then analyzed with the help of adaptive noise canceller algorithm, which is used to separate the signals. This separation is here done based on predefined values by using the Lab VIEW tool. And also the FIR filter has been designed and simulated using Xilinx ISE 12.1 and implemented in Spartan 3 Family FPGA.
本文的目的是从母体腹部信号中提取胎儿心电图(FECG)信号，这是医生分析胎儿心脏异常的重要信号。采用基于FIR滤波系数的最小均方自适应滤波方法从母体腹部提取胎儿心电图。该FECG用于计算胎儿心跳和信号周期，基于我们的估计。使用该系统可在妊娠20周后进行FECG检测。为了实时测量脑电图，孕妇应该在腹部系上一条宽腰带，腰带上装有几个心电图电极。从电极收集的数据被发送到一个系统，然后借助自适应噪声消除算法进行分析，该算法用于分离信号。这种分离是通过使用Lab VIEW工具基于预定义的值来完成的。利用Xilinx ISE 12.1对FIR滤波器进行了设计和仿真，并在Spartan 3系列FPGA上实现。
{"title":"FPGA based non-invasive heart rate monitoring system for detecting abnormalities in Fetal","authors":"R. Rasu, P. S. Sundaram, N. Santhiyakumari","doi":"10.1109/SPACES.2015.7058287","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058287","url":null,"abstract":"The aim of this paper is to extract the Fetal Electrocardiogram (FECG) signal from the mother's abdomen signal which is an important signal to analyze the abnormalities of the fetal heart by a physician. Fetal ECG is extracted from the mother's abdomen by using least-mean-square (LMS) adaptive filter based on the FIR filter coefficients. This FECG is used to calculate the fetal heart beat and the period of the signal based on our estimation. By using this system FECG can be taken after the pregnancy of 20 weeks. To take FECG in real time, maternal woman should wear a wide belt around her abdomen which is fitted with several ECG electrodes. The data collected from the electrodes are sent to a system and then analyzed with the help of adaptive noise canceller algorithm, which is used to separate the signals. This separation is here done based on predefined values by using the Lab VIEW tool. And also the FIR filter has been designed and simulated using Xilinx ISE 12.1 and implemented in Spartan 3 Family FPGA.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"672 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116103851","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 : 1900-01-01DOI: 10.1109/SPACES.2015.7058286
K. Sahu, M. Satyam, C. D. Naidu, K. J. Sankar
This paper presents an electromagnetic wave propagation model of a human thorax and also an estimation of the propagation characteristics of the model for frequencies ranging from UHF to S-band. As the heart size varies in a cardiac cycle, the characteristic variation of the propagation parameters such as reflection coefficient, signal attenuation etc., which depend on the wave propagation distances and frequency dependent dielectric properties of human body tissues are calculated. This is performed using the analytical impedance transformation method to account for the effect of multiple reflections. This estimation will be useful for the frequency dependent power budget analysis in the design of an ultra-wideband radar based contactless, non-invasive diagnostic tool for study of human cardiac activity.
{"title":"Modeling of human thorax and study on human heart activity with UWB radar from UHF to S-band","authors":"K. Sahu, M. Satyam, C. D. Naidu, K. J. Sankar","doi":"10.1109/SPACES.2015.7058286","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058286","url":null,"abstract":"This paper presents an electromagnetic wave propagation model of a human thorax and also an estimation of the propagation characteristics of the model for frequencies ranging from UHF to S-band. As the heart size varies in a cardiac cycle, the characteristic variation of the propagation parameters such as reflection coefficient, signal attenuation etc., which depend on the wave propagation distances and frequency dependent dielectric properties of human body tissues are calculated. This is performed using the analytical impedance transformation method to account for the effect of multiple reflections. This estimation will be useful for the frequency dependent power budget analysis in the design of an ultra-wideband radar based contactless, non-invasive diagnostic tool for study of human cardiac activity.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116299652","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 : 1900-01-01DOI: 10.1109/SPACES.2015.7058289
A. Krishan, D. Mittal
Classification of normal liver and different types of tumors in the liver by using Computed Tomography (CT) imaging technique. The processing of image enhancement is done by using Contrast limited adaptive histogram equalization (CLAHE) algorithm. That enhanced images have a different view look for normal liver and both tumors. A number of parameters evaluations for the comparison between both types of tumors and to get the level of tumors. A desired better range of parameters work has a small spam in the values of the range. Large amount of input image data in one particular record work for better response.
{"title":"Performance of CT metastases and compare their results with others","authors":"A. Krishan, D. Mittal","doi":"10.1109/SPACES.2015.7058289","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058289","url":null,"abstract":"Classification of normal liver and different types of tumors in the liver by using Computed Tomography (CT) imaging technique. The processing of image enhancement is done by using Contrast limited adaptive histogram equalization (CLAHE) algorithm. That enhanced images have a different view look for normal liver and both tumors. A number of parameters evaluations for the comparison between both types of tumors and to get the level of tumors. A desired better range of parameters work has a small spam in the values of the range. Large amount of input image data in one particular record work for better response.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126694232","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 : 1900-01-01DOI: 10.1109/SPACES.2015.7058282
P. Anisha, C. K. K. Reddy, L V Narasimha Prasad
Cancer diagnosis and treatment has a great significance due to the prevalent episodes of the diseases, high death rate and reappearance after treatment. On the world scale, cancer stands in the fifth position which causes death. Among the various cancers, liver cancer stands in the third position. Liver cancer is generally diagnosed by three different test like blood test, image test and biopsy. To make the task of detecting the liver cancer simpler, less time consuming, an effective and efficient approach is adopted for the same. In this research a computer aided diagnostic system for detecting liver cancer is put forward. The proposed detection methodology makes use of MRI, CT and USG scan imagery. K-means clustering technique is adopted so as to segment the images in order to capture the region of interest. Later, Haar wavelet transform is considered to compute the threshold values for the region of interest. The experiment put forth gave an average accuracy of 82% besides reducing the time complexity and computational complexity of the test.
{"title":"A pragmatic approach for detecting liver cancer using image processing and data mining techniques","authors":"P. Anisha, C. K. K. Reddy, L V Narasimha Prasad","doi":"10.1109/SPACES.2015.7058282","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058282","url":null,"abstract":"Cancer diagnosis and treatment has a great significance due to the prevalent episodes of the diseases, high death rate and reappearance after treatment. On the world scale, cancer stands in the fifth position which causes death. Among the various cancers, liver cancer stands in the third position. Liver cancer is generally diagnosed by three different test like blood test, image test and biopsy. To make the task of detecting the liver cancer simpler, less time consuming, an effective and efficient approach is adopted for the same. In this research a computer aided diagnostic system for detecting liver cancer is put forward. The proposed detection methodology makes use of MRI, CT and USG scan imagery. K-means clustering technique is adopted so as to segment the images in order to capture the region of interest. Later, Haar wavelet transform is considered to compute the threshold values for the region of interest. The experiment put forth gave an average accuracy of 82% besides reducing the time complexity and computational complexity of the test.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134414280","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 : 1900-01-01DOI: 10.1109/SPACES.2015.7058234
S. R. S. Klavakolanu, M. Raju, Fazal Noorbasha, B. Kanth
In the present trend of CMOS IC technology, Low Power Design is a major issue in designing of a system. In order to achieve that criterion, power consumption should be minimized. In this paper, techniques which are available for reduction of power consumption at different abstraction levels are discussed in detail. With this paper, Designer can easily choose the proper methodology with the appropriate optimization technique to achieve the required goal.
{"title":"A review report on low power VLSI systems analysis and modeling techniques","authors":"S. R. S. Klavakolanu, M. Raju, Fazal Noorbasha, B. Kanth","doi":"10.1109/SPACES.2015.7058234","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058234","url":null,"abstract":"In the present trend of CMOS IC technology, Low Power Design is a major issue in designing of a system. In order to achieve that criterion, power consumption should be minimized. In this paper, techniques which are available for reduction of power consumption at different abstraction levels are discussed in detail. With this paper, Designer can easily choose the proper methodology with the appropriate optimization technique to achieve the required goal.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133026972","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 : 1900-01-01DOI: 10.1109/SPACES.2015.7058239
K. Prashanth, P. Akram, T. A. Reddy
The Embedded system is controlled with the combination of hardware and software. They are usually processed by a microprocessor / microcontroller that execute instructions which are present in ROM. The term "embedded" reflects to the fact that they are part of the system. Real-Time Operating System (RTOS) combines with two thoughts "real-time" and "operating system". These are the operating system where the performance is based on the logical result and the time at which the results are obtained. The operating system called as RTOS running real time applications provide the result of course in the required time frame. The working procedure is almost the same as normal operating system, but also offers to allow the real time scheduling tasks. The RTOS is not going to increase the speed of execution, but it is accurate than the general OS.
{"title":"Real-time issues in embedded system design","authors":"K. Prashanth, P. Akram, T. A. Reddy","doi":"10.1109/SPACES.2015.7058239","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058239","url":null,"abstract":"The Embedded system is controlled with the combination of hardware and software. They are usually processed by a microprocessor / microcontroller that execute instructions which are present in ROM. The term \"embedded\" reflects to the fact that they are part of the system. Real-Time Operating System (RTOS) combines with two thoughts \"real-time\" and \"operating system\". These are the operating system where the performance is based on the logical result and the time at which the results are obtained. The operating system called as RTOS running real time applications provide the result of course in the required time frame. The working procedure is almost the same as normal operating system, but also offers to allow the real time scheduling tasks. The RTOS is not going to increase the speed of execution, but it is accurate than the general OS.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121030947","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 : 1900-01-01DOI: 10.1109/SPACES.2015.7058257
Vinay Balusa, V. P. Pavan Kumar, B. Madhav
Aperture-coupled microstrip line feed circularly polarized patch antenna is designed and its performance characteristics are observed by changing its feed orientations. The perfect impedance matching and appreciable axial ratio bandwidths are achieved from the current model. The complete analysis is done by changing feed line orientations and by placing special slots on the ground element. The antenna compactness can be achieved by placing shorting pin at appropriate location on the axis of feed line. Antenna output parameters are computed with finite element method based simulation. A microstrip line patch antenna is designed which is a circular microstrip line coupling through four Γ-shaped slots to generate four sequentially phased sources to excite the single layer patch antenna.
{"title":"Aperture coupled feed circularly polarized antenna","authors":"Vinay Balusa, V. P. Pavan Kumar, B. Madhav","doi":"10.1109/SPACES.2015.7058257","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058257","url":null,"abstract":"Aperture-coupled microstrip line feed circularly polarized patch antenna is designed and its performance characteristics are observed by changing its feed orientations. The perfect impedance matching and appreciable axial ratio bandwidths are achieved from the current model. The complete analysis is done by changing feed line orientations and by placing special slots on the ground element. The antenna compactness can be achieved by placing shorting pin at appropriate location on the axis of feed line. Antenna output parameters are computed with finite element method based simulation. A microstrip line patch antenna is designed which is a circular microstrip line coupling through four Γ-shaped slots to generate four sequentially phased sources to excite the single layer patch antenna.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125517229","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 : 1900-01-01DOI: 10.1109/SPACES.2015.7058264
A. U. Wagdarikar, R. K. Senapati
The main aim of this paper is to design and implement robust and novel watermarking scheme for H.264 encoded videos. The method used for watermarking is multi resolution wavelet decomposition. The watermark used is a binary image. This watermark is embedded in the wavelet coefficients of the LH, HL and HH sub-bands of the third wavelet decomposition level by quantization. We have tested the resilience of the watermarking algorithm against series of different attacks for different H.264 compressed videos. The results shows embedded watermark is invisible and robust to attacks.
{"title":"Robust and novel blind watermarking scheme for H.264 compressed video","authors":"A. U. Wagdarikar, R. K. Senapati","doi":"10.1109/SPACES.2015.7058264","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058264","url":null,"abstract":"The main aim of this paper is to design and implement robust and novel watermarking scheme for H.264 encoded videos. The method used for watermarking is multi resolution wavelet decomposition. The watermark used is a binary image. This watermark is embedded in the wavelet coefficients of the LH, HL and HH sub-bands of the third wavelet decomposition level by quantization. We have tested the resilience of the watermarking algorithm against series of different attacks for different H.264 compressed videos. The results shows embedded watermark is invisible and robust to attacks.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130419828","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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