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In today’s world, Image compression is a very important tool to save the amount of space the image uses for its storage. In recent days, as the image sharing and transmitting in social media has been the trending topic, compression of the image has become more significant and vital. Compression can be either lossy or lossless. With the lossless compression, after reconstructing the original image using some decompression technique, the final image obtained is numerically equal to the input image. The lossless compression technique can be applied to video also but this is seldom used, as the lossy compression provides better compression ratios without much loss in the quality of the video. There are many compression techniques for compressing the image. One of the most common methods of image compression is the Discrete Cosine Transform method. In spite of several advanced image compression methods being used, the basic steps used for still image compression can also be used along with the inclusion of motion estimation and compensation. In this project, image compression is achieved by applying the Discrete Cosine Transform method.
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L'autore
Mehnaz Tabassum, MSc in Computer Science & Engineering, Assistant Professor, Department of CSE, Jagannath University, Dhaka, Bangladesh. Along with me, Abul Fazal Mohammad Kamrul Hasan and Md. Shukur Mia take part in completing this research and both of them successfully completed MSc in CSE from Jagannath University.
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Lossless Image Compression using Discrete Cosine Transform (DCT)
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LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 6202055863
ISBN 13: 9786202055864
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In today's world, Image compression is a very important tool to save the amount of space the image uses for its storage. In recent days, as the image sharing and transmitting in social media has been the trending topic, compression of the image has become more significant and vital. Compression can be either lossy or lossless. With the lossless compression, after reconstructing the original image using some decompression technique, the final image obtained is numerically equal to the input image. The lossless compression technique can be applied to video also but this is seldom used, as the lossy compression provides better compression ratios without much loss in the quality of the video. There are many compression techniques for compressing the image. One of the most common methods of image compression is the Discrete Cosine Transform method. In spite of several advanced image compression methods being used, the basic steps used for still image compression can also be used along with the inclusion of motion estimation and compensation. In this project, image compression is achieved by applying the Discrete Cosine Transform method. 88 pp. Englisch. Codice articolo 9786202055864
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Lossless Image Compression using Discrete Cosine Transform (DCT)
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ISBN 13: 9786202055864
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tabassum MehnazMehnaz Tabassum, MSc in Computer Science & Engineering, Assistant Professor, Department of CSE, Jagannath University, Dhaka, Bangladesh. Along with me, Abul Fazal Mohammad Kamrul Hasan and Md. Shukur Mia take part in c. Codice articolo 176075381
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Lossless Image Compression using Discrete Cosine Transform (DCT)
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202055863
ISBN 13: 9786202055864
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Paperback. Condizione: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. Codice articolo zk6202055863
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Lossless Image Compression using Discrete Cosine Transform (DCT)
Editore:
LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 6202055863
ISBN 13: 9786202055864
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In today's world, Image compression is a very important tool to save the amount of space the image uses for its storage. In recent days, as the image sharing and transmitting in social media has been the trending topic, compression of the image has become more significant and vital. Compression can be either lossy or lossless. With the lossless compression, after reconstructing the original image using some decompression technique, the final image obtained is numerically equal to the input image. The lossless compression technique can be applied to video also but this is seldom used, as the lossy compression provides better compression ratios without much loss in the quality of the video. There are many compression techniques for compressing the image. One of the most common methods of image compression is the Discrete Cosine Transform method. In spite of several advanced image compression methods being used, the basic steps used for still image compression can also be used along with the inclusion of motion estimation and compensation. In this project, image compression is achieved by applying the Discrete Cosine Transform method.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. Codice articolo 9786202055864
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Lossless Image Compression using Discrete Cosine Transform (DCT)
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202055863
ISBN 13: 9786202055864
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's world, Image compression is a very important tool to save the amount of space the image uses for its storage. In recent days, as the image sharing and transmitting in social media has been the trending topic, compression of the image has become more significant and vital. Compression can be either lossy or lossless. With the lossless compression, after reconstructing the original image using some decompression technique, the final image obtained is numerically equal to the input image. The lossless compression technique can be applied to video also but this is seldom used, as the lossy compression provides better compression ratios without much loss in the quality of the video. There are many compression techniques for compressing the image. One of the most common methods of image compression is the Discrete Cosine Transform method. In spite of several advanced image compression methods being used, the basic steps used for still image compression can also be used along with the inclusion of motion estimation and compensation. In this project, image compression is achieved by applying the Discrete Cosine Transform method. Codice articolo 9786202055864
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Lossless Image Compression using Discrete Cosine Transform (DCT)
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ISBN 10: 6202055863
ISBN 13: 9786202055864
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Taschenbuch. Condizione: Neu. Lossless Image Compression using Discrete Cosine Transform (DCT) | Mehnaz Tabassum (u. a.) | Taschenbuch | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202055864 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 113379106
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Lossless Image Compression using Discrete Cosine Transform (DCT)
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202055863
ISBN 13: 9786202055864
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA82962020558636
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