The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We propose a new algorithm for blind restoration of very-high-ISO photos. Unlike previous methods that sequentially tackle the problem of noise estimation and image denoising, our approach alternatively refines the estimates of latent image and noise level function (NLF). We rigorously show how the existing low-rank based modeling of image prior can be extended to incorporate spatially inhomogeneous...
In this paper, we propose a new technique, referred to as Multi-Wafer Virtual Probe (MVP) to efficiently model wafer-level spatial variations for nanoscale integrated circuits. Towards this goal, a novel Bayesian inference is derived to extract a shared model template to explore the wafer-to-wafer correlation information within the same lot. In addition, a robust regression algorithm is proposed to...
Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, we will show for the class of signal-independent additive noise, noisy data do not destroy the manifold structure thanks to the blessing of dimensionality. Based on this observation, we propose to reconstruct the manifold...
Most of the existing image interpolation schemes assume that the image is noise free. This assumption is invalid in practice because noise will be corrupted in the image acquisition process. The conventional way is to denoise the image first and then interpolate the denoised image. The denoising process, however, may smooth much the image details and introduce some artifacts, which could be amplified...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.