9786207457441 - optimizing fractal image compression via metaheuristic algorithms: exploring efficient techniques for improving fractal image compression performance de rajasekaran, kanimozhi; sathya, p. d. (5 resultados)
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 52,55
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Taschenbuch. Condición: Neu. OPTIMIZING FRACTAL IMAGE COMPRESSION VIA METAHEURISTIC ALGORITHMS | Exploring Efficient Techniques for improving Fractal Image Compression Performance | Kanimozhi Rajasekaran (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207457441 | Verantwortliche Person für die… EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 120 pp. Englisch.
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Librería: moluna, Greven, Alemaniamoluna
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EUR 49,92
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The recent exponential growth in information technologies and digital cameras has resulted in a rapid influx of digital images. High-resolution digital cameras generate images that require substantial data storage and… communication time for storage and tran.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The recent exponential growth in information technologies and digital cameras has resulted in a rapid influx of digital images. High-resolution digital cameras generate images that require substantial data storage and communication time… for storage and transmission. In the healthcare sector, medical imaging modalities like MRI and computer tomography contribute significantly to the vast number of images used for diagnosis. The escalating demand for extensive storage capacity and efficient communication bandwidth has led to the development of image compression techniques. These techniques aim to represent images in a compact form, reducing data volume during storage or transmission across networks. Fractal Image Compression (FIC) stands out as an effective technique. Despite FIC's ability to create highly compressed files that decompose rapidly, challenges exist. The trade-off between compression and decompression times, influenced by a minimum speed constraint, results in longer compression times. To address these issues, this book investigates various metaheuristic algorithms' performance to enhance the compression efficiency of FIC.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 61,63
Envío por EUR 60,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The recent exponential growth in information technologies and digital cameras has resulted in a rapid influx of digital images. High-resolution digital cameras generate images that require substantial data storage and communication time…for storage and transmission. In the healthcare sector, medical imaging modalities like MRI and computer tomography contribute significantly to the vast number of images used for diagnosis. The escalating demand for extensive storage capacity and efficient communication bandwidth has led to the development of image compression techniques. These techniques aim to represent images in a compact form, reducing data volume during storage or transmission across networks. Fractal Image Compression (FIC) stands out as an effective technique. Despite FIC's ability to create highly compressed files that decompose rapidly, challenges exist. The trade-off between compression and decompression times, influenced by a minimum speed constraint, results in longer compression times. To address these issues, this book investigates various metaheuristic algorithms' performance to enhance the compression efficiency of FIC.




