Efficient image compression using directionlets

Vladan Velisavljevic; Baltasar Beferull-Lozano; Martin Vetterli

doi:10.1109/ICICS.2007.4449603

Efficient image compression 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

Directionlets are built as basis functions of critically sampled perfect-reconstruction transforms with directional vanishing moments imposed along different directions. We combine the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional wavelet transform. We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art image compression methods, such as 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)	9781424409839
ISBN (Print)	9781424409839
DOIs	https://doi.org/10.1109/ICICS.2007.4449603
Publication status	Published - 1 Jan 2007
Event	2007 6th International Conference on Information, Communications & Signal Processing - Duration: 10 Dec 2007 → 13 Dec 2007

Conference

Conference	2007 6th International Conference on Information, Communications & Signal Processing
Period	10/12/07 → 13/12/07
Other	2007 6th International Conference on Information, Communications & Signal Processing (10/12/2007-13/12/2007)

Keywords

directionlets

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10.1109/ICICS.2007.4449603

https://ieeexplore.ieee.org/document/4449603

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title = "Efficient image compression using directionlets",

abstract = "Directionlets are built as basis functions of critically sampled perfect-reconstruction transforms with directional vanishing moments imposed along different directions. We combine the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional wavelet transform. We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art image compression methods, such as 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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T1 - Efficient image compression using directionlets

AU - Velisavljevic, Vladan

AU - Beferull-Lozano, Baltasar

AU - Vetterli, Martin

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N2 - Directionlets are built as basis functions of critically sampled perfect-reconstruction transforms with directional vanishing moments imposed along different directions. We combine the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional wavelet transform. We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art image compression methods, such as 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 - Directionlets are built as basis functions of critically sampled perfect-reconstruction transforms with directional vanishing moments imposed along different directions. We combine the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional wavelet transform. We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art image compression methods, such as 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/ICICS.2007.4449603

DO - 10.1109/ICICS.2007.4449603

M3 - Conference contribution

SN - 9781424409839

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2007 6th International Conference on Information, Communications & Signal Processing

Y2 - 10 December 2007 through 13 December 2007

ER -

Efficient image compression using directionlets

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