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.
Kernel estimate errors and image noise are major causes of visual artifacts in image motion deblurring. We propose an inter-scale non-blind image motion deblurring approach that significantly reduces those artifacts. We use Gaussian Scale Mixture Field of Experts (GSM FOE) model as image prior. The inter-scale smoothness constraint is adopted to suppress the ringing artifacts. In each scale, image...
Traditional non-blind motion deblurring methods are sensitive to kernel estimate errors and image noise, thus suffering from either ringing artifacts, enlarged image noise, or over-smoothed image details. We introduce a robust non-blind deblurring algorithm that produces high quality results even from many challenging images with noisy kernels. We adopt the Gaussian Scale Mixture Fields of Experts...
Background subtraction in highly dynamic scenes has been a critical challenge for traditional pixel-wise background models which perform poorly when the background has dynamic textures. In this paper, we consider background modelling in a spatial perspective and make an attempt to exploit more information from the outputs of pixel-wise model. We propose a background subtraction scheme using adaptive...
This paper proposed a novel video shot clustering algorithm using spectral method by joint modeling of inter and intra shot. Gauss mixture model (GMM) is used for probabilistic space-time modeling of intra-shot pixels. The spectral clustering method is applied on the GMM parameters. The problem of automatic model selection is currently an open issue for spectral method. Here we propose a novel automatic...
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.