Image processing is known to be an important area to bring out the best in an image and it is
useful in several areas such as remote sensing, medical field, image shaping and …

Noise is introduced when capturing the image or transmitting the image. Noise means
random variation of intensity level. Some additional information is added to the pixels and …

Multi-focus image fusion (MFIF) is an image enhancement technology with broad application
prospects that can effectively extend the depth-of-field of optical lenses. This paper presents …

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 …

Image reconstruction is a typical ill-posed inverse problem that has attracted increasing
attention owing to its extensive use. To cope with the ill-posed nature of this problem, many …

In a digital era, Image recuperation plays a vital role in the area of digital image processing.
Image instauration offers more visualization on the quality of the image thereby eliminating …

In all world's countries, mathematical symbols (MS) are international and are hand-written or
typed using the same symbol. This is not the case with the alphabet where each country has …

In this study, a new fuzzy‐based technique is introduced for denoising images corrupted by
impulse noise. The proposed method is based on the intuitionistic fuzzy set (IFS), in which …

A new method has been presented in this paper to remove randomly formed impulse noise
in digital images. This method is one of the favorite learning approaches of the Bayes …

Although there are many effective methods for removing impulse noise in image restoration,
there is still much room for improvement. In this paper, we propose a new two-phase method …