@article{62f7fdb3-3a1b-429c-860a-054c4c029b60,
author = {Volodymyr Fedak},
title = {Adaptive wavelet thresholding for image denoising using sure
	minimization and clustering of wavelet coefficients},
journal = {Czasopismo Techniczne},
volume = {2015},
number = {Elektrotechnika Zeszyt 2-E (13) 2015},
year = {2016},
issn = {0011-4561},
pages = {197-210},keywords = {artifacts; denoising; wavelet transformation},
abstract = {Images and video are often coded using block-based discrete cosine transform (DCT) or discrete wavelet transform (DWT) which cause a great deal of visual distortions. In this paper, an extension of the intra-scale dependencies of wavelet coefficients is proposed to improve denoising performance. This method incorporates information on neighbouring wavelet coefficients that are inside of manually created clusters. Extensive experimental results are given to demonstrate the strength of the proposed method.},
doi = {10.4467/2353737XCT.15.096.3928},
url = {https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/adaptive-wavelet-thresholding-for-image-denoising-using-sure-minimization-and-clustering-of-wavelet-coefficients}
}