In this article, we propose an adaptive total variation (TV) regularization model for salt and
pepper denoising in digital images. The adaptive TV denoising method is developed based …

In this article, the authors propose an adaptive frequency median filter (AFMF) to remove the
salt and pepper noise. AFMF uses the same adaptive condition of adaptive median filter …

This paper presents the hardware design of fast and low-cost denoising filters suitable to be
exploited in the enabling technologies for Industry 5.0. A novel approximate computing …

Euler's Elastica is a common approach developed based on minimizing the elastica energy.
It is one of the effective approaches to solve the image inpainting problem. Nevertheless …

Convolutional neural networks (CNNs) based on the discriminative learning model have
been widely used for image denoising. In this study, a feed‐forward denoising CNN …

Self‐similarity, a prior of natural images, has attracted much attention. The attribute means
that low‐rank group matrices can be constructed from similar image patches. For low‐rank …

Mixed pixels are the main reason for the low accuracy of traditional remote sensing
applications. Hyperspectral image unmixing can explore the sub-pixel information of mixed …

Chest X-ray (CXR) is a prominent and cost-effective medical imaging tool used in healthcare
sectors. Coronavirus (COVID-19) has recently proliferated around the world, and different …

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 …

Processing images with heterogeneous blur remains challenging due to multiple
degradation aspects that could affect structural properties. This study proposes a deep …