A new denoising framework based on deep convolutional neural network for suppressing
impulse noise in color images is proposed in this paper. The proposed framework consists …

Many nuclear norm minimization (NNM)-based methods have been proposed for
hyperspectral image (HSI) mixed denoising due to the low-rank (LR) characteristics of clean …

In this paper, a new approach to impulse noise removal in color images is presented. The
proposed solution is a quaternion switching vector filter in which the impulse detection …

The measure of color distances plays an important role in color image processing. An
effective color distance method is based on quaternion representation, which computes a …

Known to be structured in several patterns at the same time, the prior image of interest is
always modeled with the idea of enforcing multiple constraints on unknown signals. For …

Impulse noise is regarded as an outlier in the local window of an image. To detect noise,
many proposed methods are based on aggregated distance, including spatially weighted …

基于深度学习的彩色图像去噪方法通常是在各个通道进行卷积操作后再进行合并得到最后的卷
积结果. 这种方式没有充分考虑色彩通道之间的光谱相关性, 可能导致去噪结果的失真 …

Impulse noise detection is important to the restoration of color images contaminated by
impulse noise in switching vector median filters. To increase detection accuracy, an effective …

This paper presents a new algorithm for solving 3-D MCSEM modelling problems in an
anisotropic medium using a Wavelet–Galerkin method (WGM) based on compactly …

Impulse noise sometimes appears as blob or granular shapes in images, which are
irregularly shaped with typically several pixels wide in different directions. Most existing …