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.
The classic TV(Total Variation)-L1 model for gray value image denoising is extended to a generalized TV-L1 model firstly, which is then extended to generalized MTV-L1 model for color image denoising based on MTV(Multichannel Total Variation) regularization. By introducing the concept of non-local MTV based on non-local means, the generalized non-local MTV-L1 model is designed for noise removal of...
The variational models for multiplicative noise removal have been received considerable attention recently. A general variational model for different cases of multiplicative noise removal is proposed, which includes a data term and a regularization term. The data term can be derived from Gauss, Rayleigh, Gamma, Poisson distribution of noises, the regularization term can be TV (Total Variation), PM...
A method of voltage flicker detection using independent component analysis (ICA) is proposed in this paper. Firstly, envelope curve is detected by square detector. Secondly, harmonious signals which form voltage flicker are separated by using minimum mutual information method and fixed Fast-ICA algorithm. Finally, each harmonic amplitude and frequency are calculated. Simulation results show that this...
This paper introduces a method using second order blind identification (SOBI) algorithm to analyze he voltage flicker signal. An embedded matrix is constructed as the multi-channel input signals. Robust whitening is used to reduce noise and decompose data onto the signal subspace. The SOBI algorithm is used to separate the source signals and get the frequency and amplitude of the voltage flicker....
In order to solve the pixel divergence problem brought by print and scan process, propose the algorithm that applying stretching contrast grade to adjust image pixel divergence. The parameter setting of this adjusting method uses peak signal noise ratio as standard of measurement, even though using different printer and scanner, we can also get good adjusting image. Simulation results show that the...
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.