TY - JOUR
TI - Adaptive wavelet thresholding for image denoising using sure
	minimization and clustering of wavelet coefficients
AU - Fedak, Volodymyr
TI - Adaptive wavelet thresholding for image denoising using sure
	minimization and clustering of wavelet coefficients
AB - 
	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.
VL - 2015
IS - Elektrotechnika Zeszyt 2-E (13) 2015
PY - 2016
SN - 0011-4561
C1 - 2353-737X
SP - 197
EP - 210
DO - 10.4467/2353737XCT.15.096.3928
UR - https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/adaptive-wavelet-thresholding-for-image-denoising-using-sure-minimization-and-clustering-of-wavelet-coefficients
KW - artifacts
KW - denoising
KW - wavelet transformation