Language: English
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659762571 ISBN 13: 9783659762574
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Image Compression Using Fractal | Image compression based upon the self-similarities present in the image | Tejas Gandhi (u. a.) | Taschenbuch | 108 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659762574 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2015, 2015
ISBN 10: 3659762571 ISBN 13: 9783659762574
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the concept of fractal and its geometry with the explanation of how natural objects require different geometry rather than traditional Euclidean geometry and also discusses mathematics of fractals with the simulation results of generated fractal and applications of the fractal geometry in image compression.Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The objective of image compression is to reduce irrelevance and redundancy of the image data in order to be able to store or transmit data in an efficient form. Image compression using fractal has a major drawback of large encoding time and several algorithm have been developed to reduce the encoding time for compression. In this thesis various algorithms of Image compression using fractal are presented. 108 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659762571 ISBN 13: 9783659762574
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gandhi TejasSoftware Engineer at Paramatrix Technology Private Ltd.Received Master of Engineering degree in Signal Processing and Communication from A.D.Patel Institute of Technology,Gujarat Technological University,India. Bachelor .
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2015, 2015
ISBN 10: 3659762571 ISBN 13: 9783659762574
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents the concept of fractal and its geometry with the explanation of how natural objects require different geometry rather than traditional Euclidean geometry and also discusses mathematics of fractals with the simulation results of generated fractal and applications of the fractal geometry in image compression.Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The objective of image compression is to reduce irrelevance and redundancy of the image data in order to be able to store or transmit data in an efficient form. Image compression using fractal has a major drawback of large encoding time and several algorithm have been developed to reduce the encoding time for compression. In this thesis various algorithms of Image compression using fractal are presented.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659762571 ISBN 13: 9783659762574
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents the concept of fractal and its geometry with the explanation of how natural objects require different geometry rather than traditional Euclidean geometry and also discusses mathematics of fractals with the simulation results of generated fractal and applications of the fractal geometry in image compression.Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The objective of image compression is to reduce irrelevance and redundancy of the image data in order to be able to store or transmit data in an efficient form. Image compression using fractal has a major drawback of large encoding time and several algorithm have been developed to reduce the encoding time for compression. In this thesis various algorithms of Image compression using fractal are presented.