作者:
HUANG, LBIJAOUI, AObservatoire
de la Côte d'Azur. Dep. A. Fresnel. URA 1361 CNRS. B.P. 139 F-06003 Nice Cedex France
We present in this paper an efficient imagecompression algorithm without distortion. It is based on a special iterative central prediction method with a hierarchic 4-bit code. By applying this method to some hydrodyn...
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We present in this paper an efficient imagecompression algorithm without distortion. It is based on a special iterative central prediction method with a hierarchic 4-bit code. By applying this method to some hydrodynamic simulation images, high compression ratios have been obtained.
A transform coding scheme has been widely used in the field of image data compression. A lot of computational power is required for the realtime operation. A new fast computational algorithm, pruned transform coding (...
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A transform coding scheme has been widely used in the field of image data compression. A lot of computational power is required for the realtime operation. A new fast computational algorithm, pruned transform coding (PTC), which can reduce the computational complexity compared with the conventional transform coding is proposed. Excellent coding performance is demonstrated through a computer simulation.
In this paper, we study the probabilistic distribution properties of a set of medical images. It is shown that the generalized Gaussian function provides a good approximation to the distribution of AP chest radiograph...
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In this paper, we study the probabilistic distribution properties of a set of medical images. It is shown that the generalized Gaussian function provides a good approximation to the distribution of AP chest radiographs. Based on this result and a goodness-of-fit test, we propose a generalized Gaussian Autoregressive model (GGAR). Its properties and limitations are also discussed. It is expected that the GGAR model will be useful in describing the stochastic characteristics of some classes of medical images and can be used in image data compression and other applications.
We consider the problem of rigid planar pattern recognition in the case where the pattern classification can be simplified regarding the pattern scale-rotation invariance. An application to pattern geometric feature e...
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We consider the problem of rigid planar pattern recognition in the case where the pattern classification can be simplified regarding the pattern scale-rotation invariance. An application to pattern geometric feature estimation and image data compression is then proposed.
The planet Uranus was not on the Voyager mission's original itinerary. Numerous engineering obstacles were overcome in order to successfully complete the mission. The major challenges and their solutions are descr...
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The planet Uranus was not on the Voyager mission's original itinerary. Numerous engineering obstacles were overcome in order to successfully complete the mission. The major challenges and their solutions are described.
The outline of an approach for image data compression using a 2-D lattice predictor is presented. Preliminary results indicate that acceptable quality images (quantised to 15 levels) at information rates, bit rates an...
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The outline of an approach for image data compression using a 2-D lattice predictor is presented. Preliminary results indicate that acceptable quality images (quantised to 15 levels) at information rates, bit rates and signal/noise ratios ranging, respectively, from 1.16 to 1.38 bpp, 1.19 to 1.40 bpp and 20.6 to 22.5 dB have been obtained for lattice stages 1 to 5.
Block truncation coding (BTC) is a recent technique used in the coding of imagedata. In the letter a modified technique for BTC coding of imagedata is presented which is algorithmically simple and hence easy to impl...
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Block truncation coding (BTC) is a recent technique used in the coding of imagedata. In the letter a modified technique for BTC coding of imagedata is presented which is algorithmically simple and hence easy to implement. This new technique uses only the first-order statistical information as `block overhead??. The new algorithm is shown to be optimum in the mean-square sense for a particular class of BTC algorithms. The letter presents the results of using the new algorithm for a typical image and compares the performance with that of the earlier algorithm for the same image.
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