Image Compression Techniques: An Analysis : Evaluation using Higher Order Metrics

Language: English

Published by LAP LAMBERT Academic Publishing, 2017

3330038306 / 9783330038301

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nach der Bestellung gedruckt Neuware - Printed after ordering - Importance of image compression increases with advancing communication technology. Limited hardware and budget is also important in sending data fast. The amount of data associated with visual information is so large that its storage requires enormous storage capacity and require large capacity and bandwidth, which could be very expensive.Generally images carry three main types of information: redundant, irrelevant, and useful.Redundant information is that which can be reproduced, without loss, from other information contained in the image, for example, low varying background information. Irrelevant information is the part of the information that has enormous details which is beyond the limit of perceptual significance. Useful information is part of the information which is neither redundant nor irrelevant. Decompressed images are usually observed by human beings. Therefore their fidelities are subject to the capabilities and limitations of the human visual system (HVS).Set partitioning in hierarchical trees (SPIHT), is an extension of Shapiro's embedded zerotrees wavelet. the algorithms allow for progressive transmission require no training,and are of low computational complexity.…

Seller Inventory # 9783330038301

Title
Image Compression Techniques: An Analysis : Evaluation using Higher Order Metrics
Author
Richa Jindal
Publisher
LAP LAMBERT Academic Publishing
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3330038306
ISBN 13
9783330038301
Item weight
143 grams
Dimensions
220x150x6 mm

AHA-BUCH GmbH

Einbeck, Germany

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