Image denoising is still a challenging problem in image processing. The authors propose a
novel image denoising method based on a deep convolution neural network (DCNN) …

In this study, we present a conservative and stable explicit finite difference scheme for the
heat equation. We use Saul'yev-type finite difference scheme and propose a conservative …

In this paper the problem of Synthetic Aperture Radar (SAR) and optical satellite images co-
registration is considered. Because of the distinct natures of SAR and optical images, there …

In this study, the authors propose a fractional derivative‐based image decomposition and
denoising model which decomposes the image into the cartoon component (the component …

In this work we propose a new image inpainting technique that combines texture synthesis,
anisotropic diffusion, transport equation and a new sampling mechanism designed to …

In this paper, we propose a strategy to combine fast discrete curvelet transform (FDCT) and
wave atom (WA) with multiscale variance stabilizing transform (MS-VST); our objective is to …

Image segmentation is an indispensable tool in computer vision applications, such as
recognition, detection and tracking. In this work, we introduce a novel user-assisted image …

Interactive segmentation methods have gained much attention lately, specially due to their
good performance in segmenting complex images and easy utilization. However, most …

Uno de los factores que afecta la calidad de las imágenes médicas es el ruido en el proceso
de adquisición. El ruido Rician, por ejemplo, está presente en las imágenes de MRI y …

This paper presents a user-assisted image partition technique that combines cartoon-texture
decomposition, inner product-based similarity metric, and spectral cut into a unified …