: We demonstrate that sub-wavelength optical images borne on partially-spatially-incoherent light can be recovered, from their far-field or from the blurred image, given the prior ...
Yoav Shechtman, Yonina C. Eldar, Alexander Szameit...
The richness of natural images makes the quest for optimal representations in image processing and computer vision challenging. The latter observation has not prevented the design...
Abstract: We propose a novel probabilistic method for detection of objects in noisy images. The method uses results from percolation and random graph theories. We present an algori...
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
Abstract Recently proposed edge-preserving multiscale image decompositions enable artifact-free and visually appealing image editing. As the human eye is sensitive to contrast, per...
Feature-based image watermarking schemes, which aim to survive various geometric distortions, have attracted great attention in recent years. Existing schemes have shown robustness...
It is often important for designers and photographers to convey or enhance desired color themes in their work. A color theme is typically defined as a template of colors and an as...
Baoyuan Wang, Yizhou Yu, Tien-Tsin Wong, Chun Chen...
We demonstrate for the first time a proof of concept projector with a secondary array of individually controllable, analog micromirrors added to improve the contrast and peak brig...
Reynald Hoskinson, Boris Stoeber, Wolfgang Heidric...
With the exponential growth of Web 2.0 applications, tags have been used extensively to describe the image contents on the Web. Due to the noisy and sparse nature in the human gene...
Abstract--The goal of image classification is to classify a collection of unlabeled images into a set of semantic classes. Many methods have been proposed to approach this goal by ...