Edge detection is one of the most important and fundamental problems in the field of
computer vision and image processing. Edge contours extracted from images are widely …

We present an overview of various edge and line oriented approaches to contour detection
that have been proposed in the last two decades. By edge and line oriented we mean …

Image denoising—removal of additive white Gaussian noise from an image—is one of the
oldest and most studied problems in image processing. Extensive work over several …

We present a new image editing method, particularly effective for sharpening major edges
by increasing the steepness of transition while eliminating a manageable degree of low …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

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 …

A general non-parametric technique is proposed for the analysis of a complex multimodal
feature space and to delineate arbitrarily shaped clusters in it. The basic computational …

It is now well understood that (1) it is possible to reconstruct sparse signals exactly from what
appear to be highly incomplete sets of linear measurements and (2) that this can be done by …

A novel method is proposed for performing multilabel, interactive image segmentation.
Given a small number of pixels with user-defined (or predefined) labels, one can analytically …

Many recent computational photography techniques decompose an image into a piecewise
smooth base layer, containing large scale variations in intensity, and a residual detail layer …