Digital images often become corrupted by undesirable noise during the process of
acquisition, compression, storage, and transmission. Although the kinds of digital noise are …

The high spectral resolution of hyperspectral (HS) images provides the possibility of
omnidirectional feature identification of objects. However, the high-dimensional features and …

The cost function gradient vanishing or exploding problem and slow convergence speed are
key issues when training deep neural networks (DNNs). In this paper, we investigate the …

Medical image denoising plays an important role for the noise in the medical images can
reduce the visibility, thereby affecting the diagnostic results of the doctors. Although good …

Polarimetric synthetic aperture radar (PolSAR) can record the backscattering information of
ground objects by capturing the phase difference of echo signal in different polarization …

Contour tracing is a critical technique in image analysis and computer vision, with
applications in medical imaging, big data analytics, machine learning, and robotics. We …

Recently patch-based image denoising techniques have gained the attention of researchers
as it is being used in numerous image denoising applications. This article is proposing a …

Visual information exchange in the form of a digital picture has become ubiquitous in the
world of communication. During the transmission of images, the information is distorted due …

Magnetic resonance angiography (MRA) is an emerging magnetic resonance imaging
method for the detection and diagnosis of cerebrovascular diseases including cerebral small …

Preserving the original characteristics of an image which is transmitted across a channel
having different kinds of noise (ie, either, uniform, linear or Gaussian noise) is a crucial task …