In the paper, a new approach to the impulsive noise removal in color images is presented.
The new filtering design is based on the peer group concept, which determines the …

In this paper, a novel approach to the mixed Gaussian and impulsive noise reduction in
color images is proposed. The described denoising framework is based on the Non-Local …

In the paper, a family of switching filters designed for the impulsive noise removal in color
images is analyzed. The framework of the proposed denoising techniques is based on the …

Suppressing noise in digital images is more significant in the field of image processing. In
this paper, a novel impulse noise detection method is introduced based on fuzzy sets …

Medical imaging has acquired more attention due to the emerging design of wireless
technologies, the internet, and data storage. The reflection of these technologies has gained …

Impulse noise is regarded as an outlier in the local window of an image. To detect noise,
many proposed methods are based on aggregated distance, including spatially weighted …

Existing detectors are based on using the similarity of pixels or blocks to locate noisy pixels.
Alternatively, this paper presents an approach that investigates the similarity property among …

The paper presents an effective nonlinear adaptive switching non-local filter for the
restoration of impulse-corrupted digital images by using distinct impulse detection and …

A novel impulse noise filter that preserves the image details and effectively suppresses high‐
density noise has been proposed in this work. The proposed filter works in two phases:(i) …

Denoising is an indispensable task to restore the image features from the corrupted low-
quality images and improve the perceptual quality of images. Besides significant …