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.
Combining of nonlocal means and variational models can extend the ability of image processing such as texture image processing. In this paper, an implementation scheme of nonlocal variational models is proposed, which contains discretization, coordinate transformation, and dimension expansion. Firstly, continuous models are transferred to discrete model. Then we transform absolute coordinate to relative...
In this paper, the characteristics of a class of pattern noise existing in a wide range of digital camera, which are called camera fingerprint, will be detected with a wavelet filter. Then the camera fingerprint models used to identify the authenticity of images is established by way of BP neural network. With this algorithm, it is not necessary to embed watermark into the images, and the results...
A new thresholding algorithm and its multi-threshold extension are presented to improve the performance of image segmentation. The probabilistic rough set is used to portray the objects and backgrounds in image. The optimal threshold is given through a minimum boundary criterion. A new rough membership function is defined in the light of requirements of image thresholding.
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.