• Corpus ID: 85511066

Removal Speckle Noise from Medical Image Using Image Processing Techniques

@inproceedings{BinHabtoor2016RemovalSN,
  title={Removal Speckle Noise from Medical Image Using Image Processing Techniques},
  author={Abdulaziz Saleh Yeslem Bin-Habtoor and Dr. Salem Saleh Al-amri},
  year={2016}
}
In image processing, medical images are corrupted by different types of noises. It is very important to obtain precise images to facilitate accurate observations for the given application. Removing of noise from medical images is now a very challenging issue in the field of medical image processing, this paper attempts to undertake the study of speckle noise of medical image by using three types of filters as mean filter, median filter and adaptive median filter applied in the four types of… 
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References

SHOWING 1-10 OF 12 REFERENCES
A New Method to Remove Noise in Magnetic Resonance and Ultrasound Images
TLDR
In the proposed method median filter is modified by adding more features, and the quality of the output images is measured by the statistical quantity measures: peak signal-to-noise ratio (PSNR), signal- to-no noise ratio (SNR) and root mean square error (RMSE).
Qualitative and Quantitative Evaluation of Image Denoising Techniques
TLDR
In this paper, various spatial filters are discussed in chapter 1 and the comparison of the results gives the conclusion and the future scope of the discussion.
Novel Bayesian multiscale method for speckle removal in medical ultrasound images
TLDR
A novel speckle suppression method for medical ultrasound images that uses the alpha-stable model to develop a blind noise-removal processor that performs a nonlinear operation on the data and designs a Bayesian estimator that exploits these statistics.
Removal of correlated Rician noise in Magnetic Resonance Imaging
TLDR
The results show that the proposed technique is more efficient at removing correlated noise than existing MRI denoising techniques and to visibly improve contrast as well as to provide a large increase in PSNR.
A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise
TLDR
A model for the radar imaging process is derived and a method for smoothing noisy radar images is presented and it is shown that the filter can be easily implemented in the spatial domain and is computationally efficient.
Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
TLDR
A new method for image smoothing based on a fourth-order PDE model that demonstrates good noise suppression without destruction of important anatomical or functional detail, even at poor signal-to-noise ratio is introduced.
Speckle Filtering of Sar Images -a Comparative Study between Complex-wavelet-based and Standard Filters
We present a comparative study between a complex Wavelet Coeecient Shrinkage (WCS) lter and several standard speckle lters that are widely used in the radar imaging community (Lee, Kuan, Frost,
Noise Reduction in Magnetic Resonance Images using Wave Atom Shrinkage
TLDR
An efficient method for enhancement of noisy magnetic resonance image using wave atom shrinkage is proposed, and the reconstructed MRI data have high Signal to Noise Ratio (SNR) compared to the curvelet and wavelet domain denoising approaches.
Compartive Approach for Speckle Reduction in Medical ultrasound Images
  • National Conference of Biophysics
  • 2010
...
...