Performance Analysis of Integer Wavelet Transform in Image Compression

Lieferzeit: Lieferbar innerhalb 14 Tagen

39,90 

ISBN: 3659774669
ISBN 13: 9783659774669
Autor: Mukherjee, Tilak/Mandal, Sourav
Verlag: LAP LAMBERT Academic Publishing
Umfang: 72 S.
Erscheinungsdatum: 09.10.2015
Auflage: 1/2015
Format: 0.5 x 22 x 15
Gewicht: 125 g
Produktform: Kartoniert
Einband: KT
Artikelnummer: 8713634 Kategorie:

Beschreibung

Compression means reducing the volume of data for representing an image the main aim of image compression is to reduce both spatial and spectral redundancy to store transmit data in a proper manner. After the compression of receiver to reproduce the original image.various compression techniques are used for this purpose. In lossless image compression, some form of entropy coding issued, while in lossy compression transform coding and predictive coding is used. With the inherent features of wavelet transform, it provides multi-resolution functionality and better compression performance improving the signal to noise ratio. For this purpose many wavelet based algorithms have been implemented. For constructing bi-orthogonal wavelets, lifting scheme is the proposed method used in image compression.

Autorenporträt

Tilak Mukherjee has been serving the department of Electronics and Communication Engineering in various engineering colleges in India. After completing his M.Tech and B.E, he has keen interest to teach subjects like basic electronics, signal processing,communication systems, RF and microwave engineering, electromagnetic fields at UG and PG level.

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