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PARALLELIZATION OF DIGITAL PROCESSING OF COLOUR IMAGES: UZBEKISTAN STATE WORLD LANGUAGE UNIVERSITY - Couverture souple
Synopsis
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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Parallelization of Digital Processing of Colour Images (Paperback)
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Paperback. Etat : 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. N° de réf. du vendeur 9786208846817
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Parallelization of Digital Processing of Colour Images
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PARALLELIZATION OF DIGITAL PROCESSING OF COLOUR IMAGES
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Omniscriptum, Scholars' Press, 2025
ISBN 10 : 6208846811
ISBN 13 : 9786208846817
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9786208846817
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Parallelization of Digital Processing of Colour Images
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Parallelization of Digital Processing of Colour Images (Paperback)
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Paperback. Etat : 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. N° de réf. du vendeur 9786208846817
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PARALLELIZATION OF DIGITAL PROCESSING OF COLOUR IMAGES : UZBEKISTAN STATE WORLD LANGUAGE UNIVERSITY
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9786208846817
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