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As a kind of noise, speckle seriously affects the imaging quality of optical imaging system. However, the speckle image carries a large amount of information related to the physical characteristics of the object surface, which can be used as the basis ...

In order to effectively improve the speckle noise suppression ability and preserve edge structure information in medical ultrasound images, an edge enhancement method based on Bayesian Non-Local Means and Convolution Neural Network is proposed in this ...

Synthetic aperture RADAR (SAR) images play a vital role in remote sensing applications and thus it insists the requirement of quality enhancement as it gets affected with speckle noise. It is a kind of noise that gets multiplied with pixel intensities due ...

Medical images that are acquired with reduced radiation exposure or following the administration of imaging agents with a low dose, are often known to experience problems by the noise stemming from acquisition hardware as well as psychological sources. ...

In this work, a gray level indicator-based nonlinear telegraph diffusion model is presented for image despeckling. Most of the researchers focus only on diffusion equation-based filter for multiplicative noise removal process. The proposed technique uses ...

Medical Ultrasound is a diagnostic imaging technique based on the application of ultrasound in various branches of medical sciences. It can facilitate the observation of structures of internal body, such as tendons, muscles, vessels and internal organs ...

In medical image processing, magnetic resonance (MR) imaging techniques play an important role. The images acquired are usually affected from various noise such as gaussian noise, salt and pepper noise, speckle noise, periodic noise etc. Therefore,...

Automated segmentation of tumors in breast ultrasound (US) images is challenging due to poor image quality, presence of speckle noise, shadowing effects and acoustic enhancement. This paper improves the multi‐scale Gaussian kernel induced fuzzy C‐means ...

This paper proposes a novel framework for speckle noise suppression and edge preservation using clustering algorithms in ultrasound images. The algorithms considered are K-means clustering, fuzzy C-means clustering, possibilistic C-means, fuzzy ...

Speckle noise removal is a key issue in ultrasound image processing used for getting important diagnostic information for human body. Speckle noise degrades the visual evaluation of ultrasound images. The main challenge of despeckling is to ...

There are seemingly an endless number of possible applications of information technology to health service management. The area of e-health is very broad, covers topics such as telemedicine, healthcare score cards, audits and information systems etc. In ...

Proper choice of denoising filter is a very important requirement for efficient image restoration because most of the filters only reduce the effect of the noise rather than removing it. This paper gives a comparative evaluation of different de-...

Speckle is a granular noise that inherently exists in all types of coherent imaging systems. This paper presents a quantitative study on five despeckling methods such as frost filter, kuan filter, speckle reducing an isotropic diffusion, homomorphic ...

Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into several binary images according to ...

This paper presents an automatic enhancement method for SAR images based on the mirror-extended curvelet transform and genetic algorithm. Firstly, an improved gain function which integrates the speckle reduction with the feature enhancement is proposed ...

Cardiovascular diseases are a major health concern worldwide. The left ventricle and in particular the endocardium is a structure of particular interest since it performs the task of pumping oxygenated blood to the entire body. Therefore, segmentation ...

In this paper, we propose an approach based on the level set method for segmenting SAR (Synthetic Aperture Radar) images. In particular, the segmentation process presented consists in the evolution of an initial curve, including the interested region, ...

Quality enhancement of radar images is highly related to speckle noise reduction. There are plenty of such techniques that have been developed by different authors. However, a definitive method has not been already attained. Filtering methods are ...

The aliasing of the speckle noise and echo information of SAR blurs the structure character of SAR image. It is difficult to enhance structure character of SAR images. Aiming at this difficulty, we propose an amalgamation frame based on EMD and PCA ...

The inherent characteristic of ultrasonic and the application environment make ultrasonic image have some defects: image with speckle noise, edge blur and low contrast. In order to reduce the speckle noise and enhance the image characteristics, a ...