The use of images has increased over the previous decade and they have the potential to
be effective communication tools, similar to social media. In this technological era, uploading …

In the surveillance of road tunnels, video data plays an important role for a detailed
inspection and as an input to systems for an automated detection of incidents. In disaster …

Background: Nowadays, image de-noising plays a very important role in medical analysis
applications and pre-processing step. Many filters were designed for image processing …

This study presents a novel noise detection algorithm which satisfactorily detects noisy
pixels in images corrupted by random-valued impulse noise of high levels up to 80% noise …

In this paper a novel Modified Directional Weighted Median Based (MDWM) filter has been
proposed, which is based on the differences between the current pixel and its neighbors …

In this paper an effort has been made to device an algorithm for highly corrupted images. In
this paper a novel Modified Weighted Based (MWB) filter has been proposed, which is …

This paper proposes a de-noising method where the detection and filtering is based on
unsupervised classification of pixels. The noisy image is grouped into subsets of pixels with …

This paper proposed a fuzzy-based switching technique that aims at detection and filtering
of impulse noises from digital images. Two types of noise models are used to obtain the …

In this paper a novel approach for de noising images corrupted by random valued impulses
has been proposed. Noise suppression is done in two steps. The detection of noisy pixels is …

In this paper an All Neighbor Directional Weighted Pixels (ANDWP) based filter has been
proposed for removal of highly random valued impulse noise (RVIN). The proposed …