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.
This paper presents a new adaptive image denoising scheme by combining the nonsubsampled Contourlet transform (NSCT) and total variation model. The original image is first decomposed using NSCT .Then the mean squared error (MSE) is estimated based on Steinpsilas unbiased risk estimation(SURE). The noise of each decomposed subband is reduced using the linear adaptive threshold function, which can be...
In this article, we present a modified robust image watermarking scheme based on the scale-invariant feature transform (SIFT). The watermark is embedded into some local regions extracted from the original image. During embedding, the initial region is divided into some cirque sub-regions with the same area, and each watermark bit is embedded into one sub-region. Besides, it is embedded in the non-subsampled...
Underwater laser image is seriously contaminated by speckle noise which is due to the coherent nature of the scattering phenomenon. In this paper, the authors propose an adaptive speckle suppression algorithm via the novel nonsubsampled contourlet transform. The statistical model for speckle noise is first analyzed to obtain a simple and tractable solution in a closed analytical form. Gaussian distribution...
Image noise removal is a classic problem. In this paper, a novel scheme combining r/K-PSO and wavelet transform was introduced to removal image noise. By wavelet transform, image was decomposed into detail subbands and approximation subband. Every detail subband will be shrunk by a special threshold instead of a universe one. A novel optimization algorithm named r/K-PSO was introduced to optimize...
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.