[PDF][PDF] Comparison of various noise removals using Bayesian framework

R Garg, A Kumar - International Journal of modern engineering research, 2012 - Citeseer
A noise is introduced in the transmission medium due to a noisy channel, errors during the
measurement process and during quantization of the data. For digital storage each element …

Adaptive Bayesian denoising for general Gaussian distributed signals

M Hashemi, S Beheshti - IEEE Transactions on Signal …, 2013 - ieeexplore.ieee.org
We study behavior of the Bayesian estimator for noisy General Gaussian Distributed (GGD)
data and show that this estimator can be well estimated with a simple shrinkage function …

Speckle noise removal in ultrasound images with stationary wavelet transform and canny operator

H Wang, C Wu, J Chi, X Yu, Q Hu - 2019 Chinese Control …, 2019 - ieeexplore.ieee.org
Speckle noise is random multiplicative noise which inhibits the segmentation and
recognition of fine details or textures in ultrasound images. In this paper, a method for …

Adaptive shrinkage on dual-tree complex wavelet transform for denoising real-time MR images

SV Renuka, DR Edla - Biocybernetics and Biomedical Engineering, 2019 - Elsevier
Performance of denoising filters which are based on the principle of wavelet thresholding
greatly depends upon selection of the threshold value. An objective method is proposed in …

Image Denoising method based on NSCT bivariate model and Variational Bayes threshold estimation

W Deyan, X Yin, G Ya - Multimedia Tools and Applications, 2019 - Springer
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 …

Analysis of the Effects of Different types of Noises and Wavelets used in Denoising of an Image using Wavelet Transform

T Mehendale, V Ramina, S **e… - 2020 11th International …, 2020 - ieeexplore.ieee.org
An image is often contaminated by some noise, which brings about changes in the
originality of the image. Denoising of such images is done in order to obtain the less …

Comparasion of SNR and MSE for Various Noises using Bayesian Framework

ER Garg, A Kumar - Journal Impact Factor, 2012 - sdbindex.com
A noise is introduced in the transmission medium due to a noisy channel, errors during the
measurement process and during quantization of the data. For digital storage each element …

Adaptive bayesian denoising for general gaussian distributed (GGD) signals in wavelet domain

M Hashemi, S Beheshti - arxiv preprint arxiv:1207.6323, 2012 - arxiv.org
Optimum Bayes estimator for General Gaussian Distributed (GGD) data in wavelet is
provided. The GGD distribution describes a wide class of signals including natural images. A …

A Denoising Method of Hyperspectral Remote Sensing Image Based on Wavelet Transform

N Fan, S Zhang, Y Li, J Han - 2021 28th International …, 2021 - ieeexplore.ieee.org
Since different types of noise are inevitably introduced in the processes of image formation
and transmission, image denoising is a necessary pre-processing process before various …

[PDF][PDF] Local Adaptive Wavelet Threshold Denoising Based on Elliptic Directional Window and Edge Detection

N Fan, S Zhang, Y Li, J Han - 2021 - easychair.org
Due to the sampling method for the wavelet coefficients of image can better adapting to its
main directional characteristics, and the edge detection protects the edge information of the …