• Corpus ID: 8538741

Medical Ultrasound Image Speckle Noise Reduction by Adaptive Median Filter

  title={Medical Ultrasound Image Speckle Noise Reduction by Adaptive Median Filter},
  author={Ognjen Magud and Eva Tuba and Neboj{\vs}a Ba{\vc}anin},
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… 
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
medical imaging is one of the essential tools for evidence-based medical diagnosis. However, salt and pepper noise could corrupt the original image, reducing the overall image quality. Computed
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
In this paper an overview is presented on image denoising. alongside, the highlight of techniques for improving image denoising are discussed. Image denoising is a process that removes noise from
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.


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
Medical practitioners are increasingly using digital images during disease diagnosis several state-of-the-art medical equipments are producing images of different organs, which are used during
Ripplet domain non-linear filtering for speckle reduction in ultrasound medical images
Experiments show that the proposed algorithm based on a new multiscale geometric representation as discrete ripplet transform and non-linear bilateral filter provides better results of removing the speckle and preserving the edges and image details as compared to several existing methods.
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.
Abstract: In image processing, image is corrupted by different type of noises. But generally medical image is corrupted by speckle noise. So image de-noising has become a very essential exercise all
Efficient analysis of DWT thresholding algorithm for medical image de-noising
This study proposes an efficient analysis based on objective and subjective test for filtering methods of the adaptive non-linear thresholding domain in discrete wavelet transform (DWT). The
A novel approach to speckle noise filtering based on Artificial Bee Colony algorithm: An ultrasound image application
  • F. Latifoğlu
  • Computer Science, Medicine
    Comput. Methods Programs Biomed.
  • 2013
The results of this study showed that the 2D FIR filters designed based on ABC optimization can eliminate speckle noise quite well on noise added test images and intrinsically noisy ultrasound images.