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International Journal of Signal and Imaging Systems Engineering最新文献

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FPGA based implementation of reversible data hiding scheme for content verification and quality access control of image 基于FPGA的可逆数据隐藏方案的实现，用于图像的内容验证和质量访问控制
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijsise.2021.10041255
Poulami Jana, A. Phadikar, Himadri S. Mandal
{"title":"FPGA based implementation of reversible data hiding scheme for content verification and quality access control of image","authors":"Poulami Jana, A. Phadikar, Himadri S. Mandal","doi":"10.1504/ijsise.2021.10041255","DOIUrl":"https://doi.org/10.1504/ijsise.2021.10041255","url":null,"abstract":"","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731840","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
An adaptive threshold based data hiding scheme on colour images 基于自适应阈值的彩色图像数据隐藏方案
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijsise.2021.10041258
C. Koley, B. C. Bag, H. Maity
{"title":"An adaptive threshold based data hiding scheme on colour images","authors":"C. Koley, B. C. Bag, H. Maity","doi":"10.1504/ijsise.2021.10041258","DOIUrl":"https://doi.org/10.1504/ijsise.2021.10041258","url":null,"abstract":"","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731853","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
Effective compression and decompression coding techniques using multilevel DWT decomposition and DCT 使用多层DWT分解和DCT的有效压缩和解压缩编码技术
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijsise.2021.10041253
Jainath Yadav, Rajeev Kumar
{"title":"Effective compression and decompression coding techniques using multilevel DWT decomposition and DCT","authors":"Jainath Yadav, Rajeev Kumar","doi":"10.1504/ijsise.2021.10041253","DOIUrl":"https://doi.org/10.1504/ijsise.2021.10041253","url":null,"abstract":"","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731778","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
Using saliency detection to improve multi-focus image fusion 利用显著性检测改进多焦点图像融合
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijsise.2021.10041254
Sarra Babahenini, F. Charif, Foudil Cherif, Abdelmalik Taleb Ahmed, Y. Ruichek
{"title":"Using saliency detection to improve multi-focus image fusion","authors":"Sarra Babahenini, F. Charif, Foudil Cherif, Abdelmalik Taleb Ahmed, Y. Ruichek","doi":"10.1504/ijsise.2021.10041254","DOIUrl":"https://doi.org/10.1504/ijsise.2021.10041254","url":null,"abstract":"","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731834","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
On the performance of a fuzzy variable structure satellite attitude controller under sensor and actuator uncertainties 模糊变结构卫星姿态控制器在传感器和作动器不确定性下的性能研究
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2020-01-01 DOI: 10.1504/ijsise.2020.10032027
B. Erkal
{"title":"On the performance of a fuzzy variable structure satellite attitude controller under sensor and actuator uncertainties","authors":"B. Erkal","doi":"10.1504/ijsise.2020.10032027","DOIUrl":"https://doi.org/10.1504/ijsise.2020.10032027","url":null,"abstract":"","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731654","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
Lossless and near lossless compression of images with sparse histograms 具有稀疏直方图的图像的无损和近无损压缩
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2020-01-01 DOI: 10.1504/IJSISE.2020.10036144
Souha Jallouli, S. Zouari, N. Masmoudi, Atef Masmoudi
{"title":"Lossless and near lossless compression of images with sparse histograms","authors":"Souha Jallouli, S. Zouari, N. Masmoudi, Atef Masmoudi","doi":"10.1504/IJSISE.2020.10036144","DOIUrl":"https://doi.org/10.1504/IJSISE.2020.10036144","url":null,"abstract":"Histogram sparseness is an unexpected characteristic by most of the lossless compression algorithms that have been designed mainly to process continuous-tone images. The compression efficiency of most of lossless image encoders is severely affected when handling sparse histogram images. In this paper, we presented an analysis of the histogram sparseness impact on lossless image compression standards and a new preprocessing technique was proposed in order to improve the compression performance for sparse histogram images. The proposed technique takes advantage of the high likelihood between neighboring image blocks. For each image block, the proposed method associates the most reduced set representing its active symbols and makes the histogram dense. This technique proved to be efficient without applying any modification to the basic code of the state-of the art lossless image compression techniques. We showed experimentally that the proposed method outperforms JPEG-LS, CALIC and JPEG 2000 and achieves lower bitrates.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731686","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: 2
HMM-GMM based Amazigh speech recognition system 基于HMM-GMM的Amazigh语音识别系统
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2020-01-01 DOI: 10.1504/IJSISE.2020.10036146
Safâa El Ouahabi, M. Atounti, Mohamed Bellouki
{"title":"HMM-GMM based Amazigh speech recognition system","authors":"Safâa El Ouahabi, M. Atounti, Mohamed Bellouki","doi":"10.1504/IJSISE.2020.10036146","DOIUrl":"https://doi.org/10.1504/IJSISE.2020.10036146","url":null,"abstract":"This study presents conception and realisation of an automatic independent speech recognition system using hidden Markov model (HMM). The system recognises 33 letters in Amazigh language. System is found well performed and can identify the Amazigh spoken letters at 88, 44% recognition rate, which is well acceptable rate of accuracy for speech recognition. The tests were taken based on the HMM and Gaussian mixture distributions. Hidden Markov toolkit (HTK) has been used in implementation and test phases. The word error rate (WER) came initially to 29.41 and reduced to about 11.52% thanks to extensive testing and change of the recognition's parameters.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731694","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: 2
Robust speaker recognition based on biologically inspired features 基于生物启发特征的稳健说话人识别
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2020-01-01 DOI: 10.1504/IJSISE.2020.10036131
Youssef Zouhir, I. Fredj, K. Ouni, Mohamed Zarka
{"title":"Robust speaker recognition based on biologically inspired features","authors":"Youssef Zouhir, I. Fredj, K. Ouni, Mohamed Zarka","doi":"10.1504/IJSISE.2020.10036131","DOIUrl":"https://doi.org/10.1504/IJSISE.2020.10036131","url":null,"abstract":"This paper proposes two speech parameterisation techniques for noise-robust speaker recognition: the normalised gammachirp cepstral coefficients (NGCC) and the perceptual linear predictive normalised gammachirp (PLPnGc). These techniques employ a biologically inspired auditory model that simulates the cochlea spectral behaviour. In an automatic speaker recognition (ASR) system, we consider the Gaussian mixture model-universal background model (GMM-UBM) for speaker modelling. The performances are evaluated in clean and noisy environments using Timit, Aurora, and Demand databases. The experimental results in noisy environments showed that the biologically inspired feature extraction techniques give a better recognition rate than state-of-the-art methods.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731677","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: 2
VAD, feature extraction and modelling techniques for speaker recognition: a review 说话人识别的特征提取和建模技术综述
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2020-01-01 DOI: 10.1504/IJSISE.2020.10036128
Spoorti J. Jainar, Pritam Limbaji Sale, B. Nagaraja
{"title":"VAD, feature extraction and modelling techniques for speaker recognition: a review","authors":"Spoorti J. Jainar, Pritam Limbaji Sale, B. Nagaraja","doi":"10.1504/IJSISE.2020.10036128","DOIUrl":"https://doi.org/10.1504/IJSISE.2020.10036128","url":null,"abstract":"This paper reviews an automatic speaker recognition technology, with an emphasis on state-of-the-art voice activity detection (VAD), feature extraction and speaker-modelling techniques that have emerged during the last few years. Researchers in the field of speaker recognition have made a few attempts to recognise the speaker in the language mismatch environment and limited data condition.To address robustness issues, we also elaborate language mismatch and limited data speaker recognition. Further, this paper identified some issues with the existing speaker recognition systems and also investigated areas of possible improvements in speaker recognition field. We conclude the paper with a discussion on the possible future directions.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731668","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
Performance analysis of CNN fusion based brain tumour detection using Chan-Vese and level set segmentation algorithms 基于can - vese和水平集分割算法的CNN融合脑肿瘤检测性能分析
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2020-01-01 DOI: 10.1504/IJSISE.2020.10036203
K. Babu, P. V. Nagajaneyulu, K. Prasad
{"title":"Performance analysis of CNN fusion based brain tumour detection using Chan-Vese and level set segmentation algorithms","authors":"K. Babu, P. V. Nagajaneyulu, K. Prasad","doi":"10.1504/IJSISE.2020.10036203","DOIUrl":"https://doi.org/10.1504/IJSISE.2020.10036203","url":null,"abstract":"Early diagnosis of a brain tumour may increase life expectancy. Magnetic resonance imaging (MRI) accompanied by several segmentation algorithms is preferred as a reliable method for assessment. In this study, first noise removed by median filter and dimensionality of datasets reduced by using random projection transformation (RPT). Next, the pre-processed images are clustered by using K-means and fuzzy c-means (FCM). In the very next step, the clustered images multi-features are fused by different data fusion approaches, and then segment the exact tumour area by using the active contour models such as level set method (LSM) and Chan-Vese (C-V). The performance of clustered based segmentation and fusion-based segmentation in terms of various fusion metrics. The results of both clustered based and fusion-based methods revealed that the CNN fusion-based segmentation performs better than clustered- based segmentation to detect the tumour with low segmentation error and minimal loss of information.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731761","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: 19
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