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.
A method aimed at minimizing image noise while optimizing contrast of image subtle features based on nonsubsampled contourlet transform is presented in this paper. Nonsubsampled contourlet transform, which is a shift-invariant version of the contourlet transform, has better performance in representing image edges than separable wavelet for its anisotropy, directionality and shift-invariance, and is...
We propose a new method for image denoising based on contourlet-domain hidden Markov tree (CHMT) models, which have been recently introduced. CHMT models achieve superior denoising results over wavelet-domain HMT (WHMT) models in terms of visual quality. But denoising by means of CHMT still introduces some artifacts due to the lack of translation invariance of the contourlet transform. We employ a...
We propose a new local adaptive shrinkage denoising approach based on the neighborhood characteristics of contourlet coefficients. Classical contourlet shrinkage denoising methods process the contourlet coefficients with a fixed threshold in each subband, without considering the clustering property of the coefficients. The shrinkage denoising method proposed in this paper determines the shrinkage...
We propose a new structure-adaptive anisotropic filtering scheme based on the local structure tensor. We utilize the local structure tensor to measure image local anisotropic features and estimate the orientation of image structures, and these informations are then used to shape and control the anisotropic Gaussian kernel. The proposed filter denoises noisy images while image structures such as corners,...
We propose contourlet-based algorithms to extract local angle from seismic migrated images and attenuate seismic noise. Steerable pyramid and projection-filter-based complex wavelet transform have been used to extract seismic local angle, while curvelet transform and complex wavelet transform have been used to attenuate seismic noise. However, previously mentioned transforms either have a fixed number...
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.