• Corpus ID: 8538741

Medical Ultrasound Image Speckle Noise Reduction by Adaptive Median Filter

@inproceedings{Magud2017MedicalUI,
  title={Medical Ultrasound Image Speckle Noise Reduction by Adaptive Median Filter},
  author={Ognjen Magud and Eva Tuba and Neboj{\vs}a Ba{\vc}anin},
  year={2017}
}
Medical ultrasound is a powerful nonivasive diagnostics tool. Due to physical factors of the diagnostics system, ultrasound generated images usually contain some noise where specle noise is often a prominent component. In this paper we propose an adaptive median filter with adaptive window size for removing speckle noise from ultrasound medical images, including the case when spots are larger than one pixel. Our proposed algorithm was tested on different ultrasound images and different… 
wseas.org
11 Citations
Background Citations
4
Methods Citations
3

Figures and Tables from this paper

11 Citations

Speckle noise reduction and entropy minimization approach for medical images

Speckle noise is a commonly known phenomenon for ultrasound imaging systems, which got introduced due to random interference of coherent waves. The measurement of uncertainty, called as Entropy,…

Speckle noise reduction using Linear and non-linear filters in ultrasound images: a study

Ultrasound images are widely used in medical applications to visualize muscles and many internal organs. Ultrasound images are potent tool in medical. The obtained image mostly corrupted by speckle…

Performance Analysis of Best Speckle Filter for Noise Reduction in Ultrasound Medical Images

In the past few years, one of the most attracted and search topic within medical imaging is the speckle phenomenon that and highly affects the ultrasound images and generates a negative impact on…

Denoising CT Images using Median based Filters: a Review

The results shown that the Adaptive Median Filter (AMF) can remove the salt and pepper noise from CT image, the AMF algorithm maintain the edge of the image and detail information of the objects, and the overall filters comparison indicates a quite effective noise removal and satisfactory performance of AMF among others.

Shock Filtering based Additive White Gaussian Noise Removal in Radiographic Scans

The method proposed in this paper uses Shock Filter to diffuse the noisy part of the image while preserving the details of the original image to denoise the medical images.

Speckle Noise Reduction Using Fuzzy Logic in Ultrasound Images

This research proposes a unique method which beats outstanding techniques for speckle removal based on fuzzy logic algorithm and examines the de-noising filters for long to expel the noise from images.

Noise Issues Prevailing in Various Types of Medical Images

The basic definition, history, usage and type of noise affecting some of the major types of imaging modalities affecting medical images, remote sensing images and natural images are included.

A Review and Taxonomy of Image Denoising Techniques

An overview of techniques to improve image denoising, including combination Non-Local Mean filter with convolution neural network, and convolution Neural network filter with non-local filter, and wavelet threshold-based strategies are presented.

Noise Removal in Breast Cancer Using Hybrid De-noising Filter for Mammogram Images

A mammogram image pre-processing extraction process for deriving the image classification and the proposed Hybrid Denoising Filter algorithm has less Root Mean Square Error variation and High Peak Signal Noise Ratio when compared with other de-noising algorithms of Gaussian, Wiener, Median and Applied Median Filters.

Monarch Butterfly Optimization Based Convolutional Neural Network Design

Experimental results proved that the proposed hybridized monarch butterfly optimization algorithm managed to obtain higher classification accuracy than other approaches, the results of which were published in the modern computer science literature.

38 References

Denoising of ultrasound images using Curvelet Transform

Ultrasound imaging utilizes sound waves reflected from different organs of the body to give local details and important diagnostic information on the human body. However, using ultrasound images for…

Modified hybrid median filter for effective speckle reduction in ultrasound images

A statistical filter, which is a modified version of Hybrid Median Filter for speckle reduction, which computes the median of the diagonal elements and maximum of the horizontal and vertical elements in a moving window and finally the two values are compared with the central pixel and the median value of the three values will be the new pixel value.

Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding

A wavelet-based thresholding scheme for noise suppression in Ultrasound images is presented and the knowledge about adaptive and anisotropic diffusion techniques for speckle noise removal from different types of images like Ultrasounds is provided.

Ripplet domain non-linear filtering for speckle reduction in ultrasound medical images

Multiresolution generalized N dimension PCA for ultrasound image denoising

For clinical images, the results show that MR-GND-PCA can reduce speckle and preserve resolvable details and is robust for the image with a much higher level of Speckle noise.

Medical Image Denoising Using Bilateral Filter

Bilateral filtering for medical image denoising is a nonlinear and local technique that preserves the features while smoothing the images and removes the additive white Gaussian noise effectively but its performance is poor in removing salt and pepper noise.

Real time ultrasound image denoising

A modified version of the NL-means method is presented that incorporates an ultrasound dedicated noise model, as well as a GPU implementation of the algorithm that demonstrates that the proposed method is very efficient in terms of denoising quality and is real-time.

SPECKLE NOISE REDUCTION BY USING WAVELETS

This paper presents image de-noising procedure by using wavelet based techniques, and the results obtained by the wavelets based techniques are compared with other speckle noise reduction techniques to demonstrate its higher performance.

Efficient analysis of DWT thresholding algorithm for medical image de-noising

A new thresholding method with better performance in both SNR and visual effect named as hybrid estimated threshold (HET) is explored, which reveals that HET is the best filtering method to remove the Speckle, Gaussians, and Salt&Pepper noise.

A novel approach to speckle noise filtering based on Artificial Bee Colony algorithm: An ultrasound image application