Noise is an unwanted element that degrades the quality of digital images. Salt and pepper
noise is a type of noise that is introduced in one or more steps during image acquisition …

In this paper a novel decision based iterative filter for the detection and elimination of salt
and pepper noise is proposed. Effective decisions based upon the noise density of the …

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 …

This paper presents a novel algorithm to filter impulsive noise at very high noise density (≥
85\%≥ 85%). The proposed algorithm initially makes an accurate decision and selects a …

This paper presents a novel significance driven inverse distance weighted (SDIDW) filter for
the impulsive noise removal in the X-ray images. The proposed SDIDW filter restores the …

Image denoising is a critical challenge in digital image processing, particularly when dealing
with random-value impulse noise (RVIN). Existing methods for RVIN detection and removal …

This paper presents a novel hybrid filter along with a universal extension to remove salt and
pepper noise even at a very high noise density. The proposed filter initially specifies a …

Digital images acquired via electronic products are prone to corruption by various noises
among which Salt & Pepper noise is one such variant. In cases of corruption by said noise, it …

Alzheimer's Disease (AD) is a progressive neurological disease. Early diagnosis of this
illness using conventional methods is very challenging. Deep Learning (DL) is one of the …

The interest of this paper is in reduction of impulse noise in digital color images. The two
main methods used for noise reduction in images are the mean and median filters. These …