Publications

2015
Agrawal, Utkarsh; Tiwary, Uma Shanker; Roy, Soumava Kumar; Prashanth, D S K-means clustering for adaptive wavelet based image denoising Inproceedings Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in, pp. 134-137, 2015. Links \| BibTeX \| Tags: adaptive soft thresholding, adaptive wavelet, Clustering algorithms, Discrete Wavelet Transform, Filtering, Gaussian noise, image denoising, image segmentation, inverse transforms, inverse wavelet transform, k-means clustering, K-Means Clustering Algorithm, k-means grouping statistical parameters, Noise, Noise measurement, pattern clustering, PSNR, Soft Thresholding, variable Gaussian noise, wavelet transforms @inproceedings{7164681, title = {K-means clustering for adaptive wavelet based image denoising}, author = {Utkarsh Agrawal and Uma Shanker Tiwary and Soumava Kumar Roy and D S Prashanth}, doi = {10.1109/ICACEA.2015.7164681}, year = {2015}, date = {2015-03-01}, booktitle = {Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in}, pages = {134-137}, keywords = {adaptive soft thresholding, adaptive wavelet, Clustering algorithms, Discrete Wavelet Transform, Filtering, Gaussian noise, image denoising, image segmentation, inverse transforms, inverse wavelet transform, k-means clustering, K-Means Clustering Algorithm, k-means grouping statistical parameters, Noise, Noise measurement, pattern clustering, PSNR, Soft Thresholding, variable Gaussian noise, wavelet transforms}, pubstate = {published}, tppubtype = {inproceedings} } Close doi:10.1109/ICACEA.2015.7164681 Close
2014
Agrawal, Utkarsh; Roy, Soumava Kumar; Tiwary, Uma Shanker Wavelet-Based Image Denoising Using Interval Type-2 Fuzzy Sets and Adaptive Multilevel Soft Threshold Inproceedings Soft Computing and Machine Intelligence (ISCMI), 2014 International Conference on, pp. 150-153, 2014. Links \| BibTeX \| Tags: adaptive multilevel soft threshold, Footprint of uncertainty, fuzzy set theory, Fuzzy sets, fuzzy systems, Gaussian noise, image denoising, image segmentation, interval type-2 fuzzy set, Interval Type-2 Fuzzy System, multilevel two-dimensional wavelet transform, Noise, Noise reduction, Standards, type-1 FS, type-1 fuzzy system, type-2 FS, Uncertainty, variable Gaussian noise, Wavelet coefficients, wavelet transforms, wavelet-based image denoising @inproceedings{7079373, title = {Wavelet-Based Image Denoising Using Interval Type-2 Fuzzy Sets and Adaptive Multilevel Soft Threshold}, author = {Utkarsh Agrawal and Soumava Kumar Roy and Uma Shanker Tiwary}, doi = {10.1109/ISCMI.2014.31}, year = {2014}, date = {2014-09-01}, booktitle = {Soft Computing and Machine Intelligence (ISCMI), 2014 International Conference on}, pages = {150-153}, keywords = {adaptive multilevel soft threshold, Footprint of uncertainty, fuzzy set theory, Fuzzy sets, fuzzy systems, Gaussian noise, image denoising, image segmentation, interval type-2 fuzzy set, Interval Type-2 Fuzzy System, multilevel two-dimensional wavelet transform, Noise, Noise reduction, Standards, type-1 FS, type-1 fuzzy system, type-2 FS, Uncertainty, variable Gaussian noise, Wavelet coefficients, wavelet transforms, wavelet-based image denoising}, pubstate = {published}, tppubtype = {inproceedings} } Close doi:10.1109/ISCMI.2014.31 Close
2010
Verma, Gyanendra Kumar; Tiwary, Uma Shanker Text independent speaker identification using wavelet transform Inproceedings 2010 International Conference on Computer and Communication Technology (ICCCT), pp. 130-134, 2010. Links \| BibTeX \| Tags: Discrete Wavelet Transform (DWT), Discrete wavelet transforms, entropy, Feature extraction, K-Nearest Neighbor (KNN) Classifier, k-nearest neighbor classifier, mean, Noise measurement, pattern classification, Speaker Identification System, speaker recognition, Speech, speech signal, standard deviation, statistical analysis, text independent speaker identification, VoxForge speech corpus, Wavelet analysis, wavelet transform, wavelet transforms @inproceedings{5640426, title = {Text independent speaker identification using wavelet transform}, author = {Gyanendra Kumar Verma and Uma Shanker Tiwary}, doi = {10.1109/ICCCT.2010.5640426}, year = {2010}, date = {2010-09-01}, booktitle = {2010 International Conference on Computer and Communication Technology (ICCCT)}, pages = {130-134}, keywords = {Discrete Wavelet Transform (DWT), Discrete wavelet transforms, entropy, Feature extraction, K-Nearest Neighbor (KNN) Classifier, k-nearest neighbor classifier, mean, Noise measurement, pattern classification, Speaker Identification System, speaker recognition, Speech, speech signal, standard deviation, statistical analysis, text independent speaker identification, VoxForge speech corpus, Wavelet analysis, wavelet transform, wavelet transforms}, pubstate = {published}, tppubtype = {inproceedings} } Close doi:10.1109/ICCCT.2010.5640426 Close
2007
Bindu, Maringanti Hima; Gupta, Priya; Tiwary, Uma Shanker Cognitive Model - Based Emotion Recognition From Facial Expressions For Live Human Computer Interaction Inproceedings Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on, pp. 351-356, 2007. Links \| BibTeX \| Tags: 3D architecture, 3D cognitive model, cognition, Cognitive model, component vector, computer vision, Databases, emotion classification, emotion recognition, Emotions, face recognition, facial expressions, Gabor filters, Gabor wavelet transforms, human computer interaction, human emotions, image classification, Lighting, live human computer interaction, neural nets, neural network, Neural networks, pattern identification, principal component analysis, principle component analysis, Probability, reinforcing stimuli, stereo image processing, Testing, Uncertainty, wavelet transforms @inproceedings{4221444, title = {Cognitive Model - Based Emotion Recognition From Facial Expressions For Live Human Computer Interaction}, author = {Maringanti Hima Bindu and Priya Gupta and Uma Shanker Tiwary}, doi = {10.1109/CIISP.2007.369194}, year = {2007}, date = {2007-04-01}, booktitle = {Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on}, pages = {351-356}, keywords = {3D architecture, 3D cognitive model, cognition, Cognitive model, component vector, computer vision, Databases, emotion classification, emotion recognition, Emotions, face recognition, facial expressions, Gabor filters, Gabor wavelet transforms, human computer interaction, human emotions, image classification, Lighting, live human computer interaction, neural nets, neural network, Neural networks, pattern identification, principal component analysis, principle component analysis, Probability, reinforcing stimuli, stereo image processing, Testing, Uncertainty, wavelet transforms}, pubstate = {published}, tppubtype = {inproceedings} } Close doi:10.1109/CIISP.2007.369194 Close
2005
Garg, S; Kiran, K U; Mohan, R; Tiwary, Uma Shanker Multilevel Medical Image Fusion using Segmented Image by Level Set Evolution with Region Competition Inproceedings 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pp. 7680-7683, 2005, ISSN: 1094-687X. Links \| BibTeX \| Tags: activity level, Biomedical imaging, biomedical MRI, Data mining, Image analysis, image fusion, image segmentation, Level set, level set evolution, Medical diagnostic imaging, medical image processing, modulus maxima, multilevel image decomposition, multilevel medical image fusion, Mutual information, mutual information criteria, Pixel, region competition, wavelet transform, wavelet transforms @inproceedings{1616291, title = {Multilevel Medical Image Fusion using Segmented Image by Level Set Evolution with Region Competition}, author = {S Garg and K U Kiran and R Mohan and Uma Shanker Tiwary}, doi = {10.1109/IEMBS.2005.1616291}, issn = {1094-687X}, year = {2005}, date = {2005-01-01}, booktitle = {2005 IEEE Engineering in Medicine and Biology 27th Annual Conference}, pages = {7680-7683}, keywords = {activity level, Biomedical imaging, biomedical MRI, Data mining, Image analysis, image fusion, image segmentation, Level set, level set evolution, Medical diagnostic imaging, medical image processing, modulus maxima, multilevel image decomposition, multilevel medical image fusion, Mutual information, mutual information criteria, Pixel, region competition, wavelet transform, wavelet transforms}, pubstate = {published}, tppubtype = {inproceedings} } Close doi:10.1109/IEMBS.2005.1616291 Close