This letter presents a novel two-stage noise adaptive fuzzy switching median (NAFSM) filter
for salt-and-pepper noise detection and removal. Initially, the detection stage will utilize the …

Segmentation of 2D images is a fundamental problem for biomedical image analysis. The
most widely used architecture for biomedical image segmentation is U-Net. U-Net introduces …

We propose an Iterative Mean Filter (IMF) to eliminate the salt-and-pepper noise. IMF uses
the mean of gray values of noise-free pixels in a fixed-size window. Unlike other nonlinear …

Many denoising algorithms have been proposed to recover a noise corrupted image.
However, most of them cannot well recover a heavy noise corrupted image with noise …

An image degraded by noise is a common phenomenon. In this letter, we propose a novel
adaptive fuzzy switching weighted mean filter to remove salt-and-pepper (SAP) noise. The …

Medical image processing is used for the diagnosis of diseases by the physicians or
radiologists. Noise is introduced to the medical images due to various factors in medical …

The quality of a digital image deteriorates by the corruption of impulse noise in the record or
transmission. The process of efficiently removing this impulse noise from a corrupted image …

The paper presents an efficient approach for suppressing salt-and-pepper (S & P) noise
under adaptive switching weighted median filter (ASWMF) framework. The ASWMF includes …

Images are often corrupted by impulse noise in the procedures of image acquisition and
transmission. In this paper, we propose an efficient denoising scheme and its VLSI …

Noise interference during the acquisition of digital images can severely degrade image
quality, particularly for images captured under low-light conditions; however, the removal of …