Information extraction from synthetic aperture radar (SAR) images is heavily impaired by speckle noise, and hence, despeckling a crucial preliminary step in scene analysis algorithms. The recent success of deep learning envisions new generation techniques that could outperform classical model-based methods. However, current approaches to require supervision for training, whereas clean SAR are i...

Speckle noise is supposed to be dependent on the signal intensity in the sense that the noise level increases with the brightness. Many approaches have been proposed to reduce the speckle effect in coherent imaging. Early works used the adaptive filters based on linear minimum mean square error by taking local statistics. The best-known filters include the Lee filter[1], Frost filter[2], Kuan f...

Speckle noise formed as a result of the coherent nature of ultrasound imaging affects the lesion detectability. We have proposed a new weighted linear filtering approach using Local Binary Patterns (LBP) for reducing the speckle noise in ultrasound images. The new filter achieves good results in reducing the noise without affecting the image content. The performance of the proposed filter has b...

This paper presents an approach for reducing speckle in ultrasound images using Coupled Partial Differential Equation (CPDE) which has been obtained by uniting secondorder and the fourth-order partial differential equations. Using PDE to reduce the speckle is the noise-smoothing methods which is getting attention widely, because PDE can keep the edge well when it reduces the noise. We also intr...

Removal of noise from image is often the first step in image processing and remains a challenging problem inspite of the sophistication of recent research. Among all noise, speckle noise existing in Satellite images, Medical images and Synthetic Aperture Radar (SAR) images is definitely to be removed since the details of the image are corrupted. The analysis of despeckling SAR image based on Ba...

Over the past four decades, the Synthetic Aperture Radar (SAR) imagery has become a beneficial and important application over the optical satellite imagery because of its ability to operate in any weather conditions. However, these images are affected with granular noise termed as Speckle noise. This noise affects the overall quality of the image adversely and hence hinders the observation of v...

Department of Electronics and Communication Engineering, M.A.R. College of Engineering and Technology, Pudukkottai, Tamilnadu, India Department of Electronics and Communication Engineering, Government College of Engineering, Salem, Tamilnadu, India [email protected], [email protected] Abstract Ultrasonography is a powerful technique for imaging the internal anatomy with its nature of...

The Bayesian approach is a promising method for modelbased signal analysis. It was previously used on detected radar images for model based despeckling and feature extraction. We propose an extension on Single Look Complex (SLC) High Resolution (HR) Synthetic Aperture Radar (SAR) images. The information contained in the phase is reflected in the second order statistics and it is important for t...

The cost-effectiveness and practical harmlessness of ultrasound imaging have made it one of the most widespread tools for medical diagnosis. Unfortunately, the beam-forming based image formation produces granular speckle noise, blurring, shading and other artifacts. To overcome these effects, the ultimate goal would be to reconstruct the tissue acoustic properties by solving a full wave propaga...

wavelet domain) of unknown variance from SAR images. The method is based on the following procedure: We apply 1) Bidimentional Discrete Wavelet Transform (DWT-2D) to the speckled image, 2) scaling and rounding to the coefficients of the highest subbands (to obtain integer and positive coefficients), 3) bit-slicing to the new highest subbands (to obtain bit-planes), 4) then we apply the Systholi...