Publications

@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}
}

@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}
}