[PDF] Top 20 Image Deblurring Using Sparse-Land Model

... of deblurring and poor image resolution is addressed and extended the task by removing blur and noise in the image to form a restored image as the ...process. Sparse-land ... See full document

... balanced model. The balanced model has been applied to image restoration including deblurring, inpainting, and as- tronomy image reconstruction and solved by a proximal forward-backward ... See full document

... of image processing, image enhancement, image compression and restoration and measurement extraction ...digital image is divided into ...recorded image as a faithful representation of ... See full document

... 4 Land concept and demonstrates it using time series of high resolution, optical data ...the model-based approach is ...the land surface processes, which cause crop growth and phenological ... See full document

... In [34], the authors proposed a refinement of the MP algorithm which improves convergence using an additional orthogonalization step. The orthogonal matching pursuit (OMP) is an improvement of the MP. The OMP ... See full document

... is using to find the minimum number of stations to give the communication coverage by mobile communication tower for a certain ...to model the air temperature of a particular area along with other ... See full document

... Abstract---Fingerprint has remained a very vital index for human recognition. In the field of security, series of Automatic Fingerprint Identification System (AFIS) have been developed. One of the indices for evaluating ... See full document

... sensing model of tran- spiration (the primary component of ET), driven by a time series of vegetation indices, was used to substitute transpi- ration from the Global Land Data Assimilation System real- ... See full document

... This research project is embedded in the logic of a sustainable expansion of agriculture in Brazil and has as its main objective the identification of cultivated pasturelands for sugarcane expansion at a national scale ... See full document

... than model parameters in determining GPP fluxes at sites, such as Santarem Km67 and Santarem ...to model error rather than meteorological data or model ...Tumbarumba using local meteorological ... See full document

... This study presents a simplified methodology and adjusted from existing algorithms of orbital sensor data available for the Northeast region of Brazil (NEB) in order to operationalize the spatial determination of ... See full document

... CORINE land cover classification (European Environment Agency, 1995) contains land cover data for Europe and includes the land cover class ... See full document

... an image which include noise and distortion, homogeneity of pixel intensities, closeness in grayscale levels and the perceivable lack of definition ...clear image, ensuring that pixels have clearly ... See full document

... Our model replicated this aspect of coding, as shown by simulations with PN firing patterns with the same slow temporal structure but different cycle-specific PN ...our model of the locust olfactory ...our ... See full document

... Visits of some Romanian writers to Finland are organized, as well as a book exhibition, concerts in Bucharest and Helsinki (among which Dinu Lipatti´s concert should be remembered), th[r] ... See full document

... Oleson, K. W., Lawrence, D. M., Bonan, G. B., Flanner, M. G., Kluzek, E., Lawrence, P. J., Levis, S., Swenson, S. C., Thornton, P. E., Dai, A., Decker, M., Dickinson, R., Feddema, J., Heald, C.L., Hoffman, F., Lamarque, ... See full document

... improve land use/cover classification ...for land use/cover classification, but some nonparametric algorithms, such as CTA, may provide better classification accuracy than the MLC, particularly when ... See full document

... Kernel applied to the wavelet approximation coefficient, to get de-noised image with all parameters is undisturbed. The kernel used here in this technique contains some components are zeros and ones as shown in ... See full document

... The Sparse Distributed Memory (SDM) is a type of asso- ciative memory proposed by Pentti Kanerva in the 1980s [2]. It is based on the properties of high-dimensional spaces, where data are stored based on pattern ... See full document

... three image features namely color, shape and ...an image, the proposed method integrates these three features to retrieve the ...The image set comprises of 10 categories with 100 images per ... See full document