Adaptive wavelet thresholding for image denoising using sure minimization and clustering of wavelet coefficients

• Authors: Volodymyr Fedak , Adrian Nakonechnyy
• Languages of publication: PL

Abstracts

PL

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.

Keywords

PL

artifacts, denoising, wavelet transformation

• Publisher: [unknown2]
• Journal: Czasopismo Techniczne
• Year: -

Dates

online

2016-02-17

Contributors

author

Volodymyr Fedak

author

Adrian Nakonechnyy