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 …

This paper introduces a novel denoising approach making use of a deep convolutional
neural network to preserve image edges. The network is trained by using the edge map …

With the growing use of the digital world and its associated challenges, the use of digital
watermarking is a popular and appropriate way of protecting digital content against illegal …

Medical image fusion aims at preserving salient image features, reducing the redundancy,
and increasing the interpretation quality of images in clinical applications eg image-guided …

Diabetes mellitus is a clinical syndrome caused by the interaction of genetic and
environmental factors. The change of plantar pressure in diabetic patients is one of the …

As an important multiscale geometric analysis tool, the nonsubsampled contourlet transform
(NSCT) has a strong ability in capturing anisotropy and directional features of images. This …

To eliminate the noise of infrared thermal image without reference and noise model, an
improved dual-tree complex wavelet transform (DTCWT), optimized by an improved fruit-fly …

Here, a novel, yet simple, transform‐based watermarking scheme for copyright protection
has been proposed. The proposed method takes advantage of the rotation invariant property …

This work presents a new ultrasound image despeckling method based on the maximum
likelihood principle that effectively exploits non-local information for estimating noise-free …

Noise removal in images denotes an interesting and a relatively challenging problem that
has captured the attention of many scholars. Recent denoising methods focus on …