Adaptive 3D-DCT based compression algorithms for integral images

Amar Aggoun; A. Mehanna; O. Abdul Fatah; M.R. Swash; Emmanuel Tsekleves

doi:10.1109/BMSB.2013.6621765

Adaptive 3D-DCT based compression algorithms for integral images

Amar Aggoun
, A. Mehanna
, O. Abdul Fatah
, M.R. Swash
, Emmanuel Tsekleves

Institute for Research in Applicable Computing (IRAC)

Brunel University London

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

7 Citations (Scopus)

Abstract

This paper proposes a novel mean adaptive 3DDCT algorithm for 3D content to achieve the optimal result by trading of quality and compression of 3D image. The proposed method enables users to adjust the compression rate according to application areas by applying small blocks to the more detailing area (non -stationary regions) and larger blocks to the background or less details area (homogenous regions) [1]. This proposed method “Mean Adaptive 3D-DCT” is applied on Holoscopic 3D images also known as Integral Images. In addition, the experiment results prove the method is applicable to any 3D content.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
DOIs	https://doi.org/10.1109/BMSB.2013.6621765
Publication status	Published - 7 Oct 2013
Event	2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) - London Duration: 5 Jun 2013 → 7 Jun 2013

Conference

Conference	2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
City	London
Period	5/06/13 → 7/06/13
Other	2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) (05/06/2013-07/06/2013, London)

Keywords

image compression

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10.1109/BMSB.2013.6621765

https://ieeexplore.ieee.org/document/6621765

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@inproceedings{d729d80e9db24c1c80724c0053ea689d,

title = "Adaptive 3D-DCT based compression algorithms for integral images",

abstract = "This paper proposes a novel mean adaptive 3DDCT algorithm for 3D content to achieve the optimal result by trading of quality and compression of 3D image. The proposed method enables users to adjust the compression rate according to application areas by applying small blocks to the more detailing area (non -stationary regions) and larger blocks to the background or less details area (homogenous regions) [1]. This proposed method “Mean Adaptive 3D-DCT” is applied on Holoscopic 3D images also known as Integral Images. In addition, the experiment results prove the method is applicable to any 3D content.",

keywords = "image compression",

author = "Amar Aggoun and A. Mehanna and Fatah, \{O. Abdul\} and M.R. Swash and Emmanuel Tsekleves",

year = "2013",

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doi = "10.1109/BMSB.2013.6621765",

language = "English",

booktitle = "nan",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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note = "2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) ; Conference date: 05-06-2013 Through 07-06-2013",

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TY - GEN

T1 - Adaptive 3D-DCT based compression algorithms for integral images

AU - Aggoun, Amar

AU - Mehanna, A.

AU - Fatah, O. Abdul

AU - Swash, M.R.

AU - Tsekleves, Emmanuel

PY - 2013/10/7

Y1 - 2013/10/7

N2 - This paper proposes a novel mean adaptive 3DDCT algorithm for 3D content to achieve the optimal result by trading of quality and compression of 3D image. The proposed method enables users to adjust the compression rate according to application areas by applying small blocks to the more detailing area (non -stationary regions) and larger blocks to the background or less details area (homogenous regions) [1]. This proposed method “Mean Adaptive 3D-DCT” is applied on Holoscopic 3D images also known as Integral Images. In addition, the experiment results prove the method is applicable to any 3D content.

AB - This paper proposes a novel mean adaptive 3DDCT algorithm for 3D content to achieve the optimal result by trading of quality and compression of 3D image. The proposed method enables users to adjust the compression rate according to application areas by applying small blocks to the more detailing area (non -stationary regions) and larger blocks to the background or less details area (homogenous regions) [1]. This proposed method “Mean Adaptive 3D-DCT” is applied on Holoscopic 3D images also known as Integral Images. In addition, the experiment results prove the method is applicable to any 3D content.

KW - image compression

U2 - 10.1109/BMSB.2013.6621765

DO - 10.1109/BMSB.2013.6621765

M3 - Conference contribution

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Y2 - 5 June 2013 through 7 June 2013

ER -

Adaptive 3D-DCT based compression algorithms for integral images

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