Space-frequency quantization using directionlets

Vladan Velisavljevic; Baltasar Beferull-Lozano; Martin Vetterli

doi:10.1109/ICIP.2007.4379271

Space-frequency quantization using directionlets

Vladan Velisavljevic
, Baltasar Beferull-Lozano
, Martin Vetterli

Institute for Research in Engineering and Sustainable Environment (IRESE)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

The authors combined the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional (2-D) wavelet transform (WT). We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art compression methods, like SPIHT and JPEG-2000, in terms of the quality of compressed images, especially in a low-rate compression regime. We also show that the order of computational complexity remains the same, as compared to the complexity of the standard SFQ algorithm.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781424414376
ISBN (Print)	9781424414376
DOIs	https://doi.org/10.1109/ICIP.2007.4379271
Publication status	Published - 1 Jan 2007
Event	2007 IEEE International Conference on Image Processing - San Antonio Duration: 16 Sept 2007 → 12 Nov 2007

Conference

Conference	2007 IEEE International Conference on Image Processing
City	San Antonio
Period	16/09/07 → 12/11/07
Other	2007 IEEE International Conference on Image Processing (16/09/2007-12/11/2007, San Antonio)

Keywords

directionlets

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10.1109/ICIP.2007.4379271

https://ieeexplore.ieee.org/document/4379271

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title = "Space-frequency quantization using directionlets",

abstract = "The authors combined the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional (2-D) wavelet transform (WT). We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art compression methods, like SPIHT and JPEG-2000, in terms of the quality of compressed images, especially in a low-rate compression regime. We also show that the order of computational complexity remains the same, as compared to the complexity of the standard SFQ algorithm.",

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author = "Vladan Velisavljevic and Baltasar Beferull-Lozano and Martin Vetterli",

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note = "2007 IEEE International Conference on Image Processing ; Conference date: 16-09-2007 Through 12-11-2007",

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T1 - Space-frequency quantization using directionlets

AU - Velisavljevic, Vladan

AU - Beferull-Lozano, Baltasar

AU - Vetterli, Martin

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Y1 - 2007/1/1

N2 - The authors combined the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional (2-D) wavelet transform (WT). We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art compression methods, like SPIHT and JPEG-2000, in terms of the quality of compressed images, especially in a low-rate compression regime. We also show that the order of computational complexity remains the same, as compared to the complexity of the standard SFQ algorithm.

AB - The authors combined the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional (2-D) wavelet transform (WT). We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art compression methods, like SPIHT and JPEG-2000, in terms of the quality of compressed images, especially in a low-rate compression regime. We also show that the order of computational complexity remains the same, as compared to the complexity of the standard SFQ algorithm.

KW - directionlets

U2 - 10.1109/ICIP.2007.4379271

DO - 10.1109/ICIP.2007.4379271

M3 - Conference contribution

SN - 9781424414376

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2007 IEEE International Conference on Image Processing

Y2 - 16 September 2007 through 12 November 2007

ER -

Space-frequency quantization using directionlets

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Keywords

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