Remote sensing (RS) dehazing is a long-standing topic, as the contrast and clarity of images
are seriously reduced in the severe environment. Recent learning-based ways achieve …

Remote sensing (RS) dehazing is a challenge topic, as images captured under hazy
scenarios often suffer from seriously quality degradation and inconsistency. RS image …

Image de-noising and enhancement are becoming increasingly widespread. Anisotropic
diffusion is one of the greatest techniques that are used to remove noise of the image, while …

Despite extensive availability of filters for denoising, speckle noise suppression remains a
challenging task. Speckle noise also hinders tasks such as efficient extraction of features …

In this work, we propose a telegraph coupled partial differential equation (TCPDE) based
model for image restoration. The new framework interpolates between a couple of nonlinear …

For the existing issues of edge blur and uncertainty of parameter selection during image
filtering, a novel telegraph total variational PDE model based on edge detector is proposed …

In this study, the existence and uniqueness of the weak solution of a coupled diffusion
system is presented. Since the considered problem is coupled and nonlinear, first we …

We propose a novel edge detector in the presence of Gaussian noise with the use of
proximal support vector machine (PSVM). The edges of a noisy image are detected using a …

This paper deals with an anisotropic diffusion based noise removal technique which utilizes
the new diffusion function based on tangent sigmoid function. A local edge indicator function …

Speckle noise suppression is a challenging and crucial pre-processing stage for higher-
level image analysis. In this work, a new attempt has been made using telegraph total …