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Single-sensor digital cameras capture images by covering the sensor surface with a color filter array (CFA) such that only one color sample is taken at the location of each pixel. To render a full-color image, color CFA interpolation or demosaicing using neighboring samples as a very important part of video/image processing, is required to estimate values of the other colors at each pixel. However,...
In this paper we present a framework for the rendering of scenes for 3DTV applications. The goal of our work is to investigate ways to generate virtual views of a scene captured using a relatively small number of real cameras. The approach adopted uses per-pixel operations and therefore is suitable for fast parallel implementation. A depth map is implicitly generated for every of the virtual viewpoints...
To obtain the full color image, at least three channels are required at each color location, however the image sensor obtains only the intensity of the brightness and cannot separate color information, three image sensors are required per pixel to capture the full color image. Since the image sensor is expensive, most of digital still cameras (DSCs) adopt single image sensor array with color filter...
Virtual view synthesis is a key technology for future free viewpoint video and three-dimensional video applications. A novel asymmetric bidirectional view synthesis method is proposed for multi-view video plus depth based systems. An intermediate virtual view is synthesized based on two adjacent reference views, which are termed as the main view and the auxiliary view. The main view contains two-dimensional...
Gibbs models are being applied in image processing due to easiness of taking into account of pixel interactions. An iteration class of algorithms known as stochastic relaxation is the most powerful tool for solving a great many tasks in image processing. In spite of the fact that many researchers concern themselves with Gibbs model application to image processing, there are problems in this field...
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