STILL IMAGE COMPRESSION USING DISCREET WAVELET TRANSFORM

Jayanth J

ISBN 10: 3844386920 / ISBN 13: 9783844386929

Edité par LAP LAMBERT Academic Publishing Jun 2011, 2011

A propos de cet article

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.

N° de réf. du vendeur 9783844386929

Détails bibliographiques

• Titre: STILL IMAGE COMPRESSION USING DISCREET WAVELET TRANSFORM
• Éditeur: LAP LAMBERT Academic Publishing Jun 2011
• Date de parution: 2011
• Langue: anglais
• ISBN à 10 chiffres: 3844386920
• ISBN à 13 chiffres: 9783844386929
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 220 L x 150 H x 5 P (en millimètres) 220 millimètres de largeur par 150 millimètres de hauteur par 5 millimètres de profondeur
• Poids: 137 grammes

A propos de ce titre

Synopsis

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