Over the past two decades, medical imaging and diagnostic techniques have gained
immense attraction due to the rapid development in computing, internet, data storage and …

Speckle is a granular disturbance, usually modeled as a multiplicative noise, that affects
synthetic aperture radar (SAR) images, as well as all coherent images. Over the last three …

Image denoising is an important problem in image processing since noise may interfere with
visual or automatic interpretation. This paper presents a new approach for image denoising …

We propose a novel despeckling algorithm for synthetic aperture radar (SAR) images based
on the concepts of nonlocal filtering and wavelet-domain shrinkage. It follows the structure of …

The method of speckle reduction is widely used in synthetic aperture radar (SAR) imagery
over the last three decades. The SAR images are inherently speckled in nature. Speckle …

Deep learning (DL) in remote sensing has nowadays become an effective operative tool: it is
largely used in applications, such as change detection, image restoration, segmentation …

This paper provides a novel pointwise-adaptive speckle filter based on local homogeneous-
region segmentation with pixel-relativity measurement. A ratio distance is proposed to …

Image denoising is a central problem in image processing and it is often a necessary step
prior to higher level analysis such as segmentation, reconstruction, or super-resolution. The …

Synthetic aperture radar (SAR) images are impaired by the presence of speckles. Despite
the deep interest of scholars in the last decades, SAR image despeckling is still an open …

Non-local means (NLM) filter is one of the state-of-the-art denoising filters. It exploits the
presence of similar features in an image and averages those similar features to remove …