In recent years, there has been an unprecedented upsurge in applying deep learning
approaches, specifically convolutional neural networks (CNNs), to solve image denoising …

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 …

This paper proposes a generalized fractional differential (GFD) mask which incorporates
various fractional-order kernels such as power-law kernel, exponentional kernel, and Mittag …

In order to make the image denoising more effective in high noise level environment, we
propose a gray image denoising method using convolutional neural network (ConvNet). By …

The traditional median filter can handle the image salt and pepper noise better. However,
when the noise intensity is large, it is often necessary to enlarge the filter window to ensure …

In this paper we propose a multistage selective convolution filter (MSCF) for fast and efficient
removal of salt-and-pepper noise (SPN) in digital images. By avoiding the use of order …

In this research work, six different filters are applied on a low resolution 8 b/pixel gray-scale
images, which operate on small sub-images (windows of 3× 3 to 11× 11 pixels). The …

Digital images captured by electronic products are highly susceptible to salt & pepper noise
during image acquisition, enrolment, preparation, and transmission phases. Therefore, it is …

Salt and pepper noise occurs randomly and causes image degradation. Numerous
denoising methods have been proposed to suppress this noise. However, existing methods …

Abstract The" GF Special Project" is a massive remote sensing technology initiative
including a number of satellites and various observation platforms. GF-5 is the satellite with …