In turbid water, the attenuation and scattering of light caused by scatterers make underwater
optical images degraded, blurred, and contrast reduced, limiting the extraction and analysis …

Magnetic resonance imaging (MRI) is the modality of choice as far as imaging diagnosis of
pathologies in the pituitary gland is concerned. Furthermore, the advent of dynamic contrast …

Background The contrast enhancement of Magnetic Resonance Imaging (MRI) data is quite
challenging as the noise present in this data also get amplified in this process. Dynamic …

Image processing techniques are applied on various kinds of images such as medical
images, microscopy images and remote sensing images for improving the visual qualities of …

The poor denoising effect for noisy grayscale images with traditional processing methods
would be obtained under strong noise condition, and some image details would be lost. In …

Conventional preprocessing methods in medical imaging can effectively reduce the
combination of Gaussian and Impulsive noise, while still maintaining the crucial features …

Imaging of infantile/neonatal brain mandates tailored radio frequency coils (RF coils) to
achieve a homogeneous field over a small region of interest (ROI). Most centers, however …

The present study proposes the noise estimation of Magnetic Resonance Imaging (MRI)
data using multi-objective particle swarm optimisation (MOPSO). This adaptive noise …

Pathologists face difficulty in cell image detection as uneven dye causes the low contrast
and inhomogeneity. The proposed discrete cosine transform (DCT)-based dynamic …

We analyze the fluctuation-driven escape of particles from a metastable state under the
influence of a weak periodic force. We develop an asymptotic method to solve the …