With the rapid advance in camera sensor technology, the acquisition of high-resolution
images or videos has become extremely convenient and cost-effective. Computer vision that …

In the literature, numerous techniques have been employed to decrease noise in medical
image modalities, including X-Ray (XR), Ultrasonic (Us), Computed Tomography (CT) …

Speech source separation is essential for speech-related applications because this process
enhances the input speech signal for the main processing model. Most of the current …

Due to the increase of crime and terror, security concerns are rising rapidly every day. The
use of surveillance cameras for abnormal behavior detection has become an indispensable …

Eliminating noise from a color image represents an essential task in image processing,
given that noise can markedly diminish visual quality and impact the precision of …

Studying porous rocks with X-ray computed tomography (XRCT) has been established as a
standard procedure for the non-destructive characterization of flow and transport in porous …

Image processing is becoming more popular because images are being used increasingly
in medical diagnosis, biometric monitoring, and character recognition. But these images are …

In clinical diagnosis, magnetic resonance imaging (MRI) plays a vital role in analyzing soft
tissues. However, the images are affected by noise that is random in nature. The noise …

Medical image denoising is a crucial pre-processing task in the medical field to ensure
accurate analysis of anomalies or sicknesses in the human body. Digital filters are popular …

Remote sensing image data especially hyperspectral imagery (HSI) data have been widely
applied in various research fields. However, HSI often suffers from significant noise …