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Towards a robust and fully reversible image watermarking framework based on number theoretic transform 基于数论变换的鲁棒完全可逆图像水印框架
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-09-13 DOI: 10.1504/IJSISE.2017.10007266
L. Laouamer
{"title":"Towards a robust and fully reversible image watermarking framework based on number theoretic transform","authors":"L. Laouamer","doi":"10.1504/IJSISE.2017.10007266","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10007266","url":null,"abstract":"This paper presents a new watermarking approach in the spectral domain based on the number theoretic transform (NTT) to ensure sharing and transferring medical images in a secure way. Through this approach we ensure also the robustness of the embedded watermarks within the medical image to prove ownership. The NTT's effectiveness has been proven in the images lossless transmission and in convolution fast calculation. In this new approach, the watermark is embedded into the NTT image based on linear interpolation with a specific factor controlling the visibility/invisibility of the watermark. The extraction process will be performed on the attacked watermarked image in order to extract the attacked watermark. We are particularly interested in the NTT since it is considered as a fully reversible transform without any loss when choosing the suitable parameters. We measured the robustness of the proposed approach by the commonly used metrics against several scenarios of attacks (geometric and non-geometric) such as JPEG compression, adding noise, rotation, median filtering, etc. The tests are performed on several types of medical images. The obtained results are very encouraging and represent a remarkable robustness which will be detailed in this paper.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"169"},"PeriodicalIF":0.6,"publicationDate":"2017-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43322361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
RANSAC algorithm for matching inlier correspondences in video stabilisation 视频稳定中用于内部对应匹配的RANSAC算法
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-09-13 DOI: 10.1504/IJSISE.2017.10007263
S. Kulkarni, D. Bormane, S. Nalbalwar
{"title":"RANSAC algorithm for matching inlier correspondences in video stabilisation","authors":"S. Kulkarni, D. Bormane, S. Nalbalwar","doi":"10.1504/IJSISE.2017.10007263","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10007263","url":null,"abstract":"In order to stabilise jittery video, we need to find a transform which reduces the distortion between frames. To find this transformation, feature points must be identified in consecutive frames. In the existing methods, correspondences between feature points are found by considering sum of squared differences as matching cost between respective points but by this method, many of the point correspondences are obtained having limited accuracy. To rectify this problem, we proposed here, M-estimator SAmple Consensus (MSAC) algorithm which is variant of random sample consensus (RANSAC) algorithm. In our proposed method, inlier and outlier feature points are found by conventional RANSAC algorithm. Then to match these inlier feature points MSAC algorithm is used which give the robust estimate of transformation between consecutive video frames. The MSAC algorithm is repeated multiple times and at each run the cost of the end result is calculated via Sum of Absolute Differences between both image frames. Sum of absolute difference (SAD) measures the distortion between two frames by evaluating the similarity between image blocks. On the basis of SAD values, affine transform is derived. This transform gives details about the camera motion and is capable to improve the image plane. It is clear from simulation results, inliers correspondences get exactly coincident which gives more favourable results thus stabilising jittery videos.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"178"},"PeriodicalIF":0.6,"publicationDate":"2017-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43006027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
New approach for automatic view detection system in tennis video 网球视频视图自动检测系统的新方法
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-09-13 DOI: 10.1504/IJSISE.2017.10007268
Manel Farhat, A. Khalfallah, M. Bouhlel
{"title":"New approach for automatic view detection system in tennis video","authors":"Manel Farhat, A. Khalfallah, M. Bouhlel","doi":"10.1504/IJSISE.2017.10007268","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10007268","url":null,"abstract":"Tennis is the highest structured sport and the playing time is the most important part. It is frequently characterised by a global court view. So, to extract the playing time, we must detect court view frames that represents a significant landmarks in tennis broadcasting. In this context, this paper presents a new system for automatic view detection in tennis video based on pattern recognition approach. First, we detected and extracted the pattern presenting the court view. Then, each current frame of the video is compared to the pattern to yield a colour similarity descriptor. We used measures similarity, based on Hue-histogram, between the current frame and the court view pattern. In addition, we presented an evaluation of our proposed system and a comparison between the different metrics of similarity used (intersection, correlation, chi-square and Bhattacharyya). Experimental results proved the efficiency of our proposed approach in terms of precision and speed.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"195"},"PeriodicalIF":0.6,"publicationDate":"2017-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47099667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Achieving compression with high-quality reconstructed US colour and grey images at reduced sampling rate 实现压缩与高质量重建的美国彩色和灰色图像在降低采样率
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-09-13 DOI: 10.1504/IJSISE.2017.10007267
V. Tiwari, P. Bansod, Abhay Kumar
{"title":"Achieving compression with high-quality reconstructed US colour and grey images at reduced sampling rate","authors":"V. Tiwari, P. Bansod, Abhay Kumar","doi":"10.1504/IJSISE.2017.10007267","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10007267","url":null,"abstract":"This paper is an endeavour to reduce the number of measurements to be taken in medical imaging, so as to reduce radiation exposure given to an ailing patient and at the same time achieve higher compression ratio (CR) under the case when sampling rate is lesser than the Nyquist rate. The obtained rate of compression in grey and colour US images has been compared. Colourization method has been applied on US colour images. Suitable modifications have been proposed in the colourisation method to extract colour representative pixels (RPs). The reconstructed grey and colour image quality has been evaluated using peak signal-to-noise ratio, structural similarity index, feature similarity index and mean square error parameters at different CR. It has been shown that an acceptable quality of US colour images can be reconstructed with 75% CR, whereas grey image is reconstructed satisfactorily with 50% CR.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"185"},"PeriodicalIF":0.6,"publicationDate":"2017-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42838272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
New context of compression problem and approach to solution: a survey of the literature 压缩问题的新背景和解决方法:文献综述
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-09-13 DOI: 10.1504/IJSISE.2017.10007269
M. Jha, Sumantra Dutta Roy, B. Lall
{"title":"New context of compression problem and approach to solution: a survey of the literature","authors":"M. Jha, Sumantra Dutta Roy, B. Lall","doi":"10.1504/IJSISE.2017.10007269","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10007269","url":null,"abstract":"The new generation multimedia applications such as ultra-high definition TV, 3D video and cloud storage keeps the compression research relevant even post to the advent of the state-of-art standard HEVC (High Efficiency Video Coding) codec. The continued studies on human visual system suggest that a perceptually acceptable reconstruction with reduced bandwidth requirements may be more acceptable and commercially viable solution rather than a bit accurate reconstruction for a variety of video and graphics applications. One way to achieve compression beyond that achieved by the advanced codec like HEVC is to sample the input data at a lower rate than the Nyquist rate, exploit the sparsity and perceptual redundancy in the content using advanced signal processing and computer vision tools and represents it using a spatio-temporal model. This paper contains an exhaustive review of the new context of video compression methods along with their limitations and open issues.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"204"},"PeriodicalIF":0.6,"publicationDate":"2017-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42317827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improving the computational complexity and word recognition rate for dysarthria speech using robust frame selection algorithm 使用鲁棒帧选择算法提高构音障碍语音的计算复杂度和单词识别率
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-08-25 DOI: 10.1504/IJSISE.2017.10006783
Garima Vyas, M. Dutta, J. Prinosil
{"title":"Improving the computational complexity and word recognition rate for dysarthria speech using robust frame selection algorithm","authors":"Garima Vyas, M. Dutta, J. Prinosil","doi":"10.1504/IJSISE.2017.10006783","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10006783","url":null,"abstract":"Dysarthria is a speech syndrome caused by the neurological damage in motor speech glands. In this paper, a robust frame selection algorithm has been employed to recognise the dysarthria speech with less time consumption. This algorithm determines the more informative frames which in turn reduce the size of feature matrix used for recognising the speech. This method results in a significant reduction in computational complexity without compromising with the word recognition rate (WRR) which may support a real time application. The amalgamation of four prosodic features: Mel frequency cepstral coefficients (MFCCs), Log of energy per frame, differential MFCCs and double differential MFCCs has been used for training and testing the Hidden Markov Models (HMMs) for speech recognition. Several try-outs were performed on the high, medium and low intelligibility audio clips with a vocabulary size of 29 isolated words. The time complexity of the whole system is reduced up to 54.8% with respect to the time taken by the system without implementing RFS. The proposed scheme is gender, speaker and age independent.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"136"},"PeriodicalIF":0.6,"publicationDate":"2017-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44265532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robust pedestrian detection in infrared images using rotation and scale invariant-based structure element descriptor 基于旋转和尺度不变性结构元素描述子的红外图像鲁棒行人检测
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-08-25 DOI: 10.1504/IJSISE.2017.10006785
Rajkumar Soundrapandiyan, P. Mouli
{"title":"Robust pedestrian detection in infrared images using rotation and scale invariant-based structure element descriptor","authors":"Rajkumar Soundrapandiyan, P. Mouli","doi":"10.1504/IJSISE.2017.10006785","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10006785","url":null,"abstract":"Pedestrian detection is a significant problem in infrared (IR) images that find varieties of applications in defense systems. The performance of the state-of-the-art of pedestrian detection methods in IR images still have abundant space for improvement towards accuracy. In this paper, a three-level filtering-based pedestrian block detection method is proposed. In addition, a rotation and scale invariant structure element descriptor (RSSED) is proposed for pedestrian detection in infrared (IR) images. To extract RSSED features, the pedestrian block detection result is encoded using local binary pattern (LBP). The LBP encoded image is quantised adaptively to four levels. Further, the proposed RSSED is used to generate the feature descriptor from the quantised image. Finally, support vector machine (SVM) is used to classify the objects in given IR image into pedestrian and non-pedestrian. The experimental results demonstrate that the proposed method performs effectively in pedestrian detection than the other methods.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"157"},"PeriodicalIF":0.6,"publicationDate":"2017-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43325806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A semantic relatedness-based solution for reducing missing problem in TBIR 一种减少tir中缺失问题的基于语义关联的解决方案
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-08-25 DOI: 10.1504/IJSISE.2017.10006784
Farah Debbagh, M. L. Kherfi, M. C. Babahenini
{"title":"A semantic relatedness-based solution for reducing missing problem in TBIR","authors":"Farah Debbagh, M. L. Kherfi, M. C. Babahenini","doi":"10.1504/IJSISE.2017.10006784","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10006784","url":null,"abstract":"In text-based image retrieval, matching is a technique that retrieves for a concept query Q, images annotated with Q. The result performance is very influenced by the annotation quality. Since it is difficult to have a well-annotated data set, the retrieval neglects many relevant images simply because they are not annotated with the query concept (i.e. missing problem). In this paper, we propose a solution that considerably minimises such a problem, by integrating the semantic relatedness between concepts into the retrieval. We compute the semantic relatedness between pairs of concepts from Wikipedia articles. We use term frequency - inverse collection term frequency weighting scheme and the cosine similarity. After evaluating the obtained values, using the human judgement benchmark WordSimilarity-353, we incorporated them into image retrieval task. The experimental results on Corel 5K data set clearly show the ability of the proposed method in detecting missing images, compared with matching and some literature works.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"146"},"PeriodicalIF":0.6,"publicationDate":"2017-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46022069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Noise reduction for pattern-matching algorithms 模式匹配算法的降噪
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-08-25 DOI: 10.1504/IJSISE.2017.10006779
S. Harous, A. Boubas
{"title":"Noise reduction for pattern-matching algorithms","authors":"S. Harous, A. Boubas","doi":"10.1504/IJSISE.2017.10006779","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10006779","url":null,"abstract":"Many of the data analysis algorithms that base their analysis on pattern occurrences tend to use objective assessment measures at one point or another. In many cases, especially in multimedia research, these objective measures were originally developed for the purpose of mimicking subjective assessments to automate the assessment pipeline. Using such measures is understandable when the user is a human subject but becomes arguable when there is an intermediate user in the form of an analysis algorithm. We present here a multidimensional noise reduction scheme that cleans the data from the perspective of the algorithmic system. The proposed scheme is then applied to applications of image coding and content-based image retrieval. Although the noise reduction adversely affects the objective scales, we show that it actually enhances the performance of the analysis algorithm. For instance, the percentage retrieval precision of tiger images was 3.5-fold better than the non-enhanced system. This precision enhancement is accompanied by a 55% reduction in retrieval time on average and further reduction in space costs.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"105"},"PeriodicalIF":0.6,"publicationDate":"2017-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41787886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
GPS enabled efficient sound source localisation using microphone array 使用麦克风阵列实现GPS高效声源定位
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-08-25 DOI: 10.1504/IJSISE.2017.10006780
Hunny Pahuja, P. Ranjan, A. Ujlayan
{"title":"GPS enabled efficient sound source localisation using microphone array","authors":"Hunny Pahuja, P. Ranjan, A. Ujlayan","doi":"10.1504/IJSISE.2017.10006780","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10006780","url":null,"abstract":"In this era of rapid technical developments in the field of sound source localisation, there is an urgent need to integrate these individual technologies to create an accurate and more power localiser. When the technique volumetric steered response power (V-SRP) is compared to steered response power (SRP), the former achieves a significant lower computational complexity. This is achieved without much decrease in the accuracy of location estimation. By appending a fine search stem to V-SRP, a refined version (RV-SRP) is achieved with improved compromise of complexity and accuracy. Experiments are performed using both the simulated as well as real scenario data to demonstrate the decrease in the computational cost. Further, in the experiment, the global positioning system (GPS) provides the accurate location coordinates of the source. It is to report newly developed system and methodologies which will be able to find approximate azimuth and elevation angle of sound source with integration of TDE-ILD-HRTF along with geo-positioning visualisations to help humanity to achieve its goal towards peace and harmony.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"120"},"PeriodicalIF":0.6,"publicationDate":"2017-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45193372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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