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STILL IMAGE COMPRESSION USING DISCREET WAVELET TRANSFORM: JPEG 2000 Still Image Compression - Softcover
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Image data compression comes under the category ofdigital image processing. Image compression is themethod of effectively coding digital images to reducethe number of bits required in representing an image.The purpose of doing so is to reduce the storage andtransmission costs while maintaining good quality.There are two methods of compression, Lossycompression and Lossless compression With the increasing use of multimedia technologies,Image compression requires higher performance as wellas new features. To address this need in the specificarea of still image encoding, a new standard is used,the JPEG2000. It is interesting to note that JPEG2000is being designed to address the requirements of adiversity of applications, e.g. Internet, colorfacsimile, printing, scanning, digital photography,remote sensing, mobile applications, medical imagery,digital library and E-commerce.We have implemented the basic architecture of theJPEG2000 using Matlab. It can be used for bothgray-scale and color images
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Reseña del editor
Image data compression comes under the category ofdigital image processing. Image compression is themethod of effectively coding digital images to reducethe number of bits required in representing an image.The purpose of doing so is to reduce the storage andtransmission costs while maintaining good quality.There are two methods of compression, Lossycompression and Lossless compression With the increasing use of multimedia technologies,Image compression requires higher performance as wellas new features. To address this need in the specificarea of still image encoding, a new standard is used,the JPEG2000. It is interesting to note that JPEG2000is being designed to address the requirements of adiversity of applications, e.g. Internet, colorfacsimile, printing, scanning, digital photography,remote sensing, mobile applications, medical imagery,digital library and E-commerce.We have implemented the basic architecture of theJPEG2000 using Matlab. It can be used for bothgray-scale and color images
Biografía del autor
Mr.Jayanth.J is working as a Lecture in the Dept of E&C atG.S.S.S.I.E.T.W Mysore, Karnataka, India. He has received hisM.Tech in Digital Electronics and Communication System from VTUin the year 2010. His area of interest is mainly in DigitalSignal Processing,Image processing, Pattern Recognition, Remotesensing analysis, swarm technology
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STILL IMAGE COMPRESSION USING DISCREET WAVELET TRANSFORM
Verlag:
LAP LAMBERT Academic Publishing Jun 2011, 2011
ISBN 10: 3844386920
ISBN 13: 9783844386929
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image data compression comes under the category ofdigital image processing. Image compression is themethod of effectively coding digital images to reducethe number of bits required in representing an image.The purpose of doing so is to reduce the storage andtransmission costs while maintaining good quality.There are two methods of compression, Lossycompression and Lossless compression With the increasing use of multimedia technologies,Image compression requires higher performance as wellas new features. To address this need in the specificarea of still image encoding, a new standard is used,the JPEG2000. It is interesting to note that JPEG2000is being designed to address the requirements of adiversity of applications, e.g. Internet, colorfacsimile, printing, scanning, digital photography,remote sensing, mobile applications, medical imagery,digital library and E-commerce.We have implemented the basic architecture of theJPEG2000 using Matlab. It can be used for bothgray-scale and color images 80 pp. Englisch. Bestandsnummer des Verkäufers 9783844386929
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STILL IMAGE COMPRESSION USING DISCREET WAVELET TRANSFORM
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844386920
ISBN 13: 9783844386929
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: J JayanthMr.Jayanth.J is working as a Lecture in the Dept of E&C atG.S.S.S.I.E.T.W Mysore, Karnataka, India. He has received hisM.Tech in Digital Electronics and Communication System from VTUin the year 2010. His area of interest is . Bestandsnummer des Verkäufers 5476204
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STILL IMAGE COMPRESSION USING DISCREET WAVELET TRANSFORM
Verlag:
LAP LAMBERT Academic Publishing Jun 2011, 2011
ISBN 10: 3844386920
ISBN 13: 9783844386929
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Taschenbuch. Zustand: Neu. Neuware -Image data compression comes under the category ofdigital image processing. Image compression is themethod of effectively coding digital images to reducethe number of bits required in representing an image.The purpose of doing so is to reduce the storage andtransmission costs while maintaining good quality.There are two methods of compression, Lossycompression and Lossless compression With the increasing use of multimedia technologies,Image compression requires higher performance as wellas new features. To address this need in the specificarea of still image encoding, a new standard is used,the JPEG2000. It is interesting to note that JPEG2000is being designed to address the requirements of adiversity of applications, e.g. Internet, colorfacsimile, printing, scanning, digital photography,remote sensing, mobile applications, medical imagery,digital library and E-commerce.We have implemented the basic architecture of theJPEG2000 using Matlab. It can be used for bothgray-scale and color imagesBooks on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch. Bestandsnummer des Verkäufers 9783844386929
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STILL IMAGE COMPRESSION USING DISCREET WAVELET TRANSFORM : JPEG 2000 Still Image Compression
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844386920
ISBN 13: 9783844386929
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image data compression comes under the category ofdigital image processing. Image compression is themethod of effectively coding digital images to reducethe number of bits required in representing an image.The purpose of doing so is to reduce the storage andtransmission costs while maintaining good quality.There are two methods of compression, Lossycompression and Lossless compression With the increasing use of multimedia technologies,Image compression requires higher performance as wellas new features. To address this need in the specificarea of still image encoding, a new standard is used,the JPEG2000. It is interesting to note that JPEG2000is being designed to address the requirements of adiversity of applications, e.g. Internet, colorfacsimile, printing, scanning, digital photography,remote sensing, mobile applications, medical imagery,digital library and E-commerce.We have implemented the basic architecture of theJPEG2000 using Matlab. It can be used for bothgray-scale and color images. Bestandsnummer des Verkäufers 9783844386929
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