Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

This review article provides a comprehensive survey on state-of-the-art impulse and
Gaussian denoising filters applied to images and summarizes the progress that has been …

At the crossing of the statistical and functional analysis, there exists a relentless quest for an
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …

Image fusion is a well-recognized and a conventional field of image processing. Image
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …

Human-Object Interaction (HOI) recognition, due to its significance in many computer vision-
based applications, requires in-depth and meaningful details from image sequences …

The bilateral filter is a non-linear filter that uses a range filter along with a spatial filter to
perform edge-preserving smoothing of images. A direct computation of the bilateral filter …

Radiography is one of the important clinical adjuncts for preliminary disease investigation.
The X-ray images are corrupted with inherent quantum noise affecting the performance of …

In this paper, we propose an advanced framework for image denoising using bilateral
filtering based non-subsampled shearlet transform (NSST). Initially, we apply the NSST to …

It was demonstrated in earlier work that, by approximating its range kernel using shiftable
functions, the nonlinear bilateral filter can be computed using a series of fast convolutions …

This paper proposes an improved denoising method based on the cascaded arrangement of
filters. The different combinations of filters are obtained optimally through the improved …