We present a new approach for performing high-quality edge-preserving filtering of images
and videos in real time. Our solution is based on a transform that defines an isometry …

In super-resolution (SR) reconstruction of images, regularization becomes crucial when
insufficient number of measured low-resolution images is supplied. Beyond making the …

In this article, the author presents a practical and accessible framework to understand some
of the basic underpinnings of these methods, with the intention of leading the reader to a …

One of the biggest challenges in non-rigid shape retrieval and comparison is the design of a
shape descriptor that would maintain invariance under a wide class of transformations the …

The bilateral filter is a non-linear technique that can blur an image while respecting strong
edges. Its ability to decompose an image into different scales without causing haloes after …

Additive noise removal from a given signal is an important problem in signal processing.
Among the most appealing aspects of this field are the ability to refer it to a well-established …

The bilateral filter is a nonlinear filter that does spatial averaging without smoothing edges; it
has shown to be an effective image denoising technique. An important issue with the …

The bilateral filter is a nonlinear filter that smoothes a signal while preserving strong edges.
It has demonstrated great effectiveness for a variety of problems in computer vision and …

In this paper, we focus on techniques for vector-valued image regularization, based on
variational methods and PDE. Starting from the study of PDE-based formalisms previously …

The bilateral filter is a nonlinear filter that smoothes a signal while preserving strong edges.
It has demonstrated great effectiveness for a variety of problems in computer vision and …