In this paper we present new examples of fuzzy metrics in the sense of George and
Veeramani. The examples have been classified attending to their construction and most of …

This paper discusses current formulations based on fuzzy-logic control concepts as applied
to the removal of impulsive noise from digital images. We also discuss the various principles …

The peer group of an image pixel is a pixel similarity-based concept which has been
successfully used to devise image denoising methods. However, since it is difficult to define …

Completions of fuzzy metric spaces (in the sense of George and Veeramani) are discussed.
A complete fuzzy metric space Y is said to be a~ fuzzy metric completion of a~ given fuzzy …

Noise detection accuracy is crucial in suppressing random-valued impulse noise. Both false
and miss detections determine the final estimation performance. Deterministic detection …

In this paper, a novel approach to the problem of impulsive noise removal in color digital
images is presented. The described switching filter is based on the rank weighted …

Salt and Pepper noise (S&P noise) removal is an active research area in digital image
processing. Existing techniques commonly use the local statistics within a neighborhood to …

In this paper we study some properties of a class of fuzzy metric spaces, in the sense of
George and Veeramani, called strong. This class includes the class of stationary fuzzy …

In this paper, a modified switching median filter is presented for noise reduction in color
images that are corrupted with impulse (salt and pepper) noise. It is a two-phase noise …

Noise reduction is one of the most important and still active research topics in low-level
image processing due to its high impact on object detection and scene understanding for …