نتایج جستجو برای: locally adaptive zooming algorithm laz
تعداد نتایج: 983875 فیلتر نتایج به سال:
In this paper, we propose a novel self image rectification algorithm for uncalibrated stereo video sequences. Different from conventional stereo systems, this algorithm performs adaptive calibration that allows unequal motions and zooming effects in both cameras. For the first stereo frame, we estimate a reduced set of camera parameters through a nonlinear optimization process to minimize the g...
Several methods have been developed to enhance the performance of image denoising algorithms. In this letter we have developed an algorithm for image noise removal based on local adaptive window size/shape filtering. While rectangular windows are efficient, they yield poor results near object boundaries. We describe an efficient method for determining the variable size of the locally adaptive w...
A point machine's gap is an important indication of its healthy status. An edge detection algorithm is proposed to measure and calculate a point machine's gap from the gap image captured by CCD plane arrays. This algorithm integrates adaptive wavelet-based image denoising, locally adaptive image binarization, and mathematical morphology technologies. The adaptive wavelet-based image denoising o...
We consider the problem of searching through visualizations of large amounts of data by performing panning and zooming operations. We give algorithms to travel from a source to an unknown target using a number of pans and zooms that is competitive with the optimal number of pans and zooms depending on certain parameters, and consider both the one-dimensional and two-dimensional versions of this...
A set of points shown on the map usually represents special sites like cities or towns in a country. If the map in the interactive geographical information system (GIS) is browsed by users on the computer screen or on the web, the points and their labels can be viewed in a query window at different resolutions by zooming in or out according to the users’ requirements. How can we make use of the...
This paper presents an improved adaptive Wiener filtering algorithm for super-resolution reconstruction. When interpolating the high resolution pixels, the proposed algorithm locally adjusts the correlation model of the pixels by taking edge information into account. Simulation results show that the proposed algorithm produces SR outputs of better quality, both subjectively and objectively, as ...
BACKGROUND In computed tomography (CT), the source-detector system commonly rotates around the object in a circular trajectory. Such a trajectory does not allow to exploit a detector fully when scanning elongated objects. OBJECTIVE Increase the spatial resolution of the reconstructed image by optimal zooming during scanning. METHODS A new approach is proposed, in which the full width of the...
A Photo Browser Applying Photomosaic Kiho SAKAMOTO and Takayuki ITOH †Department of Information Sciences, Faculty of Science, Ochanomizu University 2-1-1 Otsuka, Bunkyo-ku, Tokyo, 112-0012 Japan E-mail: † {keyhole, itot}@itolab.is.ocha.ac.jp Abstract This paper introduces a photo browser applying photomosaic. Photomosaic is a technique to produce large images by arranging many small images like...
annihilation or reduction of each kind of noise blended in correct data signals is a field that has attracted many researchers. it is a fact that fuzzy theory presents full capability in this field. fuzzy filters are often strong in smoothing corrupted signals, whereas they have simple structures. in this paper, a new powerful yet simple fuzzy procedure is introduced for sharpness reduction in ...
A strategy for zooming in and out the topological environment of a node in a complex network is developed. This approach is applied here to generalize the subgraph centrality of nodes in complex networks. In this case the zooming in strategy is based on the use of some known matrix functions which allow focusing locally on the environment of a node. When a zooming out strategy is applied new ma...
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