Image denoising with 2D scale-mixing complex wavelet transforms. Academic Article

abstract

• This paper introduces an image denoising procedure based on a 2D scale-mixing complex-valued wavelet transform. Both the minimal (unitary) and redundant (maximum overlap) versions of the transform are used. The covariance structure of white noise in wavelet domain is established. Estimation is performed via empirical Bayesian techniques, including versions that preserve the phase of the complex-valued wavelet coefficients and those that do not. The new procedure exhibits excellent quantitative and visual performance, which is demonstrated by simulation on standard test images.

authors

• Vidakovic, Brani

published proceedings

• IEEE Trans Image Process

author list (cited authors)

• Remenyi, N., Nicolis, O., Nason, G., & Vidakovic, B.

citation count

• 31

complete list of authors

• Remenyi, Norbert||Nicolis, Orietta||Nason, Guy||Vidakovic, Brani

publication date

• December 2014

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Algorithms
• Bayes Theorem
• Computer Simulation
• Humans
• Image Processing, Computer-Assisted
• Wavelet Analysis

Digital Object Identifier (DOI)

• 10.1109/TIP.2014.2362058

start page

• 5165

end page

• 5174

volume

• 23

issue

• 12

URL

• http://dx.doi.org/10.1109/tip.2014.2362058