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Titlebook: Computer Analysis of Images and Patterns; 5th International Co Dmitry Chetverikov,Walter G. Kropatsch Conference proceedings 19931st editio

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The Emancipatory Systems Approache reduced drastically. Furthermore, we can use this theory to restore noise pictures, and we can develop a regularization theory. For the clarity of presentation, the approach given here is one-dimensional, but the multidimensional generalization is straightforward.
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Fast iterative reconstruction of band-limited images from non-uniform sampling values,nation of the steepest descent method with the use of a suitable relaxation parameter gives very often a highly efficient reconstruction method. In case of product sampled images successive 1D reconstruction performs best. Several examples illustrate the results.
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https://doi.org/10.1007/b100327ntly serves as a potential field . in a framework of different possible contour grouping processes. In this paper we treat the general problem of grouping two straight line contour fragments building an arbitrary (missing) angle. We solve the grouping problem in closed form a specific grouping process within the suggested framework.
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Systems Approaches and Their Applicationeckle reduction and in regions containing edges. Results show that the TDLMS filter produces better results than direct averaging and the modified TDLMS filter improves these further, indicating the potential for further modification.
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https://doi.org/10.1007/b10032750 pixels per inch. Six quality objective measures were used: mean squared error MSE, percentage of normalized mean squared error NMSE, signal to noise ratio SNR, range to noise ratio SNR‘, Hosaka plot‘s mean area AM, and Hosaka plot‘s standard deviation area AS.
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