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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


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


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