Deep learning has gained significant interest in image denoising, but there are notable
distinctions in the types of deep learning methods used. Discriminative learning is suitable …

The most vital challenge for a radiologist is locating the brain tumors in the earlier stage. As
the brain tumor grows rapidly, doubling its actual size in about twenty-five days. If not dealt …

Recently, integrating ferroelectric materials with nanotransistors such as carbon nanotube
field-effect transistors (CNTFETs) has opened new doors for demonstrating a new …

Noise reduction is a perplexing undertaking for the researchers in digital image processing
and has a wide range of applications in automation, IoT (Internet of Things), medicine, etc …

Abstract The Common-path Coherent-dispersion Spectrometer (CODES), an exoplanet
detection instrument, executes high-precision Radial Velocity (RV) inversions by recording …

Grayscale image processing is a key research area in the field of computer vision and image
analysis, where image quality and visualization effects may be seriously damaged by high …

The speckle noise is the major area of concern in ultrasound imaging. Speckle degrades the
speed and accuracy of subsequent image processing tasks such as segmentation …

In this article, a salt and pepper noise (SPN) removal method is proposed based on
thresholding and regularization techniques. The proposed method utilizes the ability to …

This paper proposes a generalized fractional differential (GFD) mask which incorporates
various fractional-order kernels such as power-law kernel, exponentional kernel, and Mittag …

This paper proposed a novel three stage algorithm to eliminate salt & pepper noise from the
image. The three stages in the proposed algorithm are i) Pre-processing stage, ii) Main …