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- Title
Image Denoising method based on NSCT bivariate model and Variational Bayes threshold estimation.
- Authors
Deyan, Wang; Yin, Xiao; Ya, Gao
- Abstract
In order to reduce the Gaussian noise introduced during image generation, this paper presents an image denoising algorithm based on variational Bayes (V-Bayes) estimation and nonsubsampled contourlet transform (NSCT) bivariate model. First, the proposed algorithm uses the NSCT's advantages of translation-invariant and multidirection-selectivity, exploits the intra-scale and inter-scale correlations of NSCT coefficients. Then, the corresponding nonlinear bivariate threshold function of the model is deduced by using V-Bayes estimation theory. Finally, the noise-reduced coefficients are inverse-transformed by NSCT to obtain denoised image. The simulation results show that the denoised image has obvious improvement in subjective visual effects and performance indicators, and effectively preserves the details and texture information in the original image.
- Subjects
IMAGE denoising; IMAGE processing; BIVARIATE analysis; RANDOM noise theory; STOCHASTIC information theory
- Publication
Multimedia Tools & Applications, 2019, Vol 78, Issue 7, p8927
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-018-6685-y