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9786208846817: Parallelization of Digital Processing of Colour Images: UZBEKISTAN STATE WORLD LANGUAGE UNIVERSITY

Sinopsis

Digital image processing, especially working with color images, has become an integral part of modern technologies. Color images are usually stored in the RGB (Red, Green, Blue) model, where each pixel consists of three color components. Since each component can be processed independently, parallel computing technologies are widely applied in this field.Parallelization refers to the technique of executing multiple tasks simultaneously, significantly increasing processing speed. In color image processing, each channel (R, G, B), each pixel, or image blocks can be processed by separate processors or threads. This not only saves time but also allows for real-time processing of large-scale images.Parallel processing techniques are effectively used in various fields such as artificial intelligence, medical imaging, video surveillance, and graphic editing applications. With the help of GPUs (graphics processing units) and multi-core CPUs, parallel processing is achieved using technologies like OpenMP, CUDA, OpenCL, and MPI.In addition, tasks like neural network-based analysis, image segmentation, filtering, sharpening, and color balance adjustments are also executed in parallel.

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RAVSHAN MALLAYEV
Publicado por Omniscriptum, Scholars' Press, 2025
ISBN 10: 6208846811 ISBN 13: 9786208846817
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Digital image processing, especially working with color images, has become an integral part of modern technologies. Color images are usually stored in the RGB (Red, Green, Blue) model, where each pixel consists of three color components. Since each component can be processed independently, parallel computing technologies are widely applied in this field.Parallelization refers to the technique of executing multiple tasks simultaneously, significantly increasing processing speed. In color image processing, each channel (R, G, B), each pixel, or image blocks can be processed by separate processors or threads. This not only saves time but also allows for real-time processing of large-scale images.Parallel processing techniques are effectively used in various fields such as artificial intelligence, medical imaging, video surveillance, and graphic editing applications. With the help of GPUs (graphics processing units) and multi-core CPUs, parallel processing is achieved using technologies like OpenMP, CUDA, OpenCL, and MPI.In addition, tasks like neural network-based analysis, image segmentation, filtering, sharpening, and color balance adjustments are also executed in parallel. 72 pp. Englisch. Nº de ref. del artículo: 9786208846817

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Ravshan Mallayev
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ISBN 10: 6208846811 ISBN 13: 9786208846817
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Digital image processing, especially working with color images, has become an integral part of modern technologies. Color images are usually stored in the RGB (Red, Green, Blue) model, where each pixel consists of three color components. Since each component can be processed independently, parallel computing technologies are widely applied in this field.Parallelization refers to the technique of executing multiple tasks simultaneously, significantly increasing processing speed. In color image processing, each channel (R, G, B), each pixel, or image blocks can be processed by separate processors or threads. This not only saves time but also allows for real-time processing of large-scale images.Parallel processing techniques are effectively used in various fields such as artificial intelligence, medical imaging, video surveillance, and graphic editing applications. With the help of GPUs (graphics processing units) and multi-core CPUs, parallel processing is achieved using technologies like OpenMP, CUDA, OpenCL, and MPI.In addition, tasks like neural network-based analysis, image segmentation, filtering, sharpening, and color balance adjustments are also executed in parallel. Nº de ref. del artículo: 9786208846817

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Mallayev, Ravshan
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Ravshan Mallayev
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Paperback. Condición: new. Paperback. Digital image processing, especially working with color images, has become an integral part of modern technologies. Color images are usually stored in the RGB (Red, Green, Blue) model, where each pixel consists of three color components. Since each component can be processed independently, parallel computing technologies are widely applied in this field.Parallelization refers to the technique of executing multiple tasks simultaneously, significantly increasing processing speed. In color image processing, each channel (R, G, B), each pixel, or image blocks can be processed by separate processors or threads. This not only saves time but also allows for real-time processing of large-scale images.Parallel processing techniques are effectively used in various fields such as artificial intelligence, medical imaging, video surveillance, and graphic editing applications. With the help of GPUs (graphics processing units) and multi-core CPUs, parallel processing is achieved using technologies like OpenMP, CUDA, OpenCL, and MPI.In addition, tasks like neural network-based analysis, image segmentation, filtering, sharpening, and color balance adjustments are also executed in parallel. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9786208846817

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Mallayev, Ravshan
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Publicado por Scholars' Press, 2025
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Ravshan Mallayev
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Paperback. Condición: new. Paperback. Digital image processing, especially working with color images, has become an integral part of modern technologies. Color images are usually stored in the RGB (Red, Green, Blue) model, where each pixel consists of three color components. Since each component can be processed independently, parallel computing technologies are widely applied in this field.Parallelization refers to the technique of executing multiple tasks simultaneously, significantly increasing processing speed. In color image processing, each channel (R, G, B), each pixel, or image blocks can be processed by separate processors or threads. This not only saves time but also allows for real-time processing of large-scale images.Parallel processing techniques are effectively used in various fields such as artificial intelligence, medical imaging, video surveillance, and graphic editing applications. With the help of GPUs (graphics processing units) and multi-core CPUs, parallel processing is achieved using technologies like OpenMP, CUDA, OpenCL, and MPI.In addition, tasks like neural network-based analysis, image segmentation, filtering, sharpening, and color balance adjustments are also executed in parallel. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9786208846817

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