Noise is always presents in digital images during image acquisition, coding, transmission,
and processing steps. Noise is very difficult to remove it from the digital images without the …

Microscopy is a powerful visualization tool in biology, enabling the study of cells, tissues,
and the fundamental biological processes; yet, the observed images typically suffer from blur …

The demand of sharing video streaming extremely increases due to the proliferation of
Internet of Things (IoT) devices in recent years, and the explosive development of artificial …

Accepted: 26 July 2022 Nowadays, a digital image is often easily corrupted due to different
forms of noise and complex processes resulting from the acquisition, compression …

Live-cell Ca 2+ fluorescence microscopy is a cornerstone of cellular signaling analysis and
imaging. The demand for high spatial and temporal imaging resolution is, however …

Noise leads to the ambiguity in regions of interest detection by corrupting the pixel
information and is a vital problem in image processing domain. A novel hybrid technique …

Now a days the use of digital camera in day-today life is increased and along with which
new challenges are rising demanding the quality improvement of captured images. Further …

Image denoising and Reconstruction are necessary for medical image processing. It helps
to crate a lot of research scope in the medical image analytics. The proposed model of this …

A critical challenge in image restoration is the presence of various types of noise.
Meanwhile, noise detection is a crucial step in mixed noise removal. This paper tackles the …

Recently, in all image processing systems, image restoration plays a major role and it forms
the major part of image processing systems. Medical images such as brain Magnetic …