We consider the problem of restoring a multichannel image corrupted by blur and impulsive
noise (eg, salt-and-pepper noise). Using the variational framework, we consider the L 1 …

Anisotropic diffusion model has been established as one of the most significant image
processing techniques, because it not only allows for space-variant filtering, but also …

We present a variational framework to estimate super-resolved texture maps on a 3D
geometry model of a surface from multiple images. Given the calibrated images and the …

We study the scenario of a multiview setting, where several calibrated views of a textured
object with known surface geometry are available. The objective is to estimate a diffuse …

Texture enhancement presents an ongoing challenge, in spite of the considerable progress
made in recent years. Whereas most of the effort has been devoted so far to enhancement of …

Natural stochastic textures (NSTs), characterized by their fine details, are prone to corruption
by artifacts, introduced during the image acquisition process by the combined effect of blur …

We consider the problem of deblurring images which have been blurred by different reasons
during image acquisition. We propose a variational approach admitting spatially variant and …

This paper investigates the use of cascadic multiresolution methods for image deblurring.
Iterations with a conjugate gradient-type method are carried out on each level, and …

Image denoising is still a crucial problem for image processing community as well as
mathematicians alike. This paper proposes a denoising technique based on wavelet …

In this article, a new conformable fractional anisotropic diffusion model for image denoising
is presented, which contains the spatial derivative along with the time-fractional derivative …