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 study presents a comprehensive survey on mixed impulse and Gaussian denoising
filters which are applied to an image in order to gauge the effects of this type of noise …

Image denoising is an essential task in image processing. Due to the noise in corrupted
secret images being very important, existing bit-based restoration methods, such as the k …

We devise efficient methods for dynamic inverse problems, where both the quantities of
interest and the forward operator (measurement process) may change in time. Our goal is to …

Convolutional neural networks (CNNs) have made great achievements in the field of image
denoising but can still be improved. We introduce a network structure, namely, multifeature …

We consider efficient methods for computing solutions to dynamic inverse problems, where
both the quantities of interest and the forward operator (measurement process) may change …

Promoting the spatial resolution of hyperspectral sensors is expected to improve computer
vision tasks. However, due to the physical limitations of imaging sensors, the hyperspectral …

A new method based on bright and dark channel prior and gaussian mixture model is
presented for nighttime dehazing from a single image. Firstly, the nighttime image is divided …

Noise can affect images while acquired, transmitted, stored or compressed. One of the best
methods for noise removal is the sparse representation algorithm (SR). The Quantum …

Background: In this paper, we have proposed a new image-denoising approach, which is a
hybrid technique using the self-organizing migration algorithm (SOMA) and adaptive …