Image Compression Using Wavelets with Integer Lifting and ROI Oriented SPIHT Image Compression

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F00%3A4360043" target="_blank" >RIV/00216305:26220/00:4360043 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Image Compression Using Wavelets with Integer Lifting and ROI Oriented SPIHT Image Compression

Original language description

This paper deals with image compression using higher forms of the wavelet transform (WT). The separable WT can be realised by one-dimensional filters applied on transformed image separately at the horizontal and vertical direction or can be realis ed byinteger lifting scheme and then maps integer samples to integer samples and thus can be used to lossless image compression. The transformed data are more suitable for successive entropy coding. One of very efficient coders is the coder based on set partitioning in hierarchical trees (SPIHT). Lossy and lossless modifications of the compression algorithm with separable transform can also be combined so the image is coded without any distortion in region of interest (ROI) while the loss y compression is applied outside the region.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2000

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Analysis of Biomedical Signals and Images

ISBN

80-214-1610-6

ISSN

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e-ISSN

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Number of pages

3

Pages from-to

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Publisher name

Brno University of Technology, VUTIUM Press

Place of publication

Brno

Event location

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Event date

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Type of event by nationality

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UT code for WoS article

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