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Titlebook: Image Processing & Communications Challenges 2; Ryszard S. Chora? Conference proceedings 2010 Springer-Verlag Berlin Heidelberg 2010 Augme

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發(fā)表于 2025-3-23 12:03:25 | 只看該作者
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發(fā)表于 2025-3-23 15:35:05 | 只看該作者
Improve Vector Quantization Strategysuch as the block rotation process, the mean and mode operation, block classification, and random blocks selection. High PSNR results obtain when using scalar quantization as a pre processing with rand selection blocks and blocks rotation.
13#
發(fā)表于 2025-3-23 20:37:00 | 只看該作者
Earliest Computer Vision Systems in Polandion. The history is connected with changes of the technology used for problem solving. First systems are build from the separate integrated circuits of low and medium scale of integration, after this we develop some systems build on the base of VLSI elements, and now the new systems are constructed
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發(fā)表于 2025-3-23 22:52:59 | 只看該作者
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發(fā)表于 2025-3-24 05:50:06 | 只看該作者
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發(fā)表于 2025-3-24 07:57:19 | 只看該作者
Implementation of Hurwitz-Radon Matrices in Shape Representationrwitz-Radon Matrices (MHR), can be used in representation and reconstruction of shapes of the objects in the plane. Proposed method is based on a family of Hurwitz-Radon (HR) matrices. The matrices are skew-symmetric and possess columns composed of orthogonal vectors. Shape is represented by the set
17#
發(fā)表于 2025-3-24 14:19:59 | 只看該作者
Video Quality Assessment Using the Combined Full-Reference Approachlly transmitted using wireless channels. The proposed metric is the weighted combination of three state-of-the-art image quality metrics, which are well correlated with the subjective evaluations. A?simple extension of those metrics for the video quality assessment is the averaging of their values f
18#
發(fā)表于 2025-3-24 18:34:44 | 只看該作者
19#
發(fā)表于 2025-3-24 22:07:46 | 只看該作者
20#
發(fā)表于 2025-3-25 02:34:04 | 只看該作者
Improve Vector Quantization Strategyprocess that maps the blocks of high rate digital pixel intensities into a relatively small number of symbols. The aim of this work is to use different ways to encode the homogenous/ heterogeneous or edge/smooth part of the image with the improvement of the existing Vector Quantization algorithms an
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