Low bitrate image compression using self-organized Kohonen maps

Mehrtash T. Harandi; Mohammad Gharavi-Alkhansari

Low bitrate image compression using self-organized Kohonen maps

Mehrtash T. Harandi
, Mohammad Gharavi-Alkhansari

Research output: Contribution to conference › Paper › peer-review

Abstract

In this paper, we propose a new image compression algorithm based on Kohonen self-organized maps. The compression is based on vector quantization (VQ) of the DCT coefficients of image blocks, where the VQ is implemented by a Kohonen network. At low bitrates, our proposed method performs better than an earlier compression scheme developed by Amerijckx et al. [1] and shows better subjective results in comparison to JPEG.

Original language	English
Pages	267-270
Number of pages	4
Publication status	Published - 17 Dec 2003
Externally published	Yes
Event	IEEE International Conference on Image Processing 2003 - Barcelona, Spain Duration: 14 Sept 2003 → 17 Sept 2003 Conference number: 10th https://ieeexplore.ieee.org/xpl/conhome/8824/proceeding?isnumber=27937 (Proceedings)

Conference

Conference	IEEE International Conference on Image Processing 2003
Abbreviated title	ICIP 2003
Country/Territory	Spain
City	Barcelona
Period	14/09/03 → 17/09/03
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8824/proceeding?isnumber=27937 (Proceedings)

Cite this

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title = "Low bitrate image compression using self-organized Kohonen maps",

abstract = "In this paper, we propose a new image compression algorithm based on Kohonen self-organized maps. The compression is based on vector quantization (VQ) of the DCT coefficients of image blocks, where the VQ is implemented by a Kohonen network. At low bitrates, our proposed method performs better than an earlier compression scheme developed by Amerijckx et al. [1] and shows better subjective results in comparison to JPEG.",

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year = "2003",

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language = "English",

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note = "IEEE International Conference on Image Processing 2003, ICIP 2003 ; Conference date: 14-09-2003 Through 17-09-2003",

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AU - Harandi, Mehrtash T.

AU - Gharavi-Alkhansari, Mohammad

N1 - Conference code: 10th

PY - 2003/12/17

Y1 - 2003/12/17

N2 - In this paper, we propose a new image compression algorithm based on Kohonen self-organized maps. The compression is based on vector quantization (VQ) of the DCT coefficients of image blocks, where the VQ is implemented by a Kohonen network. At low bitrates, our proposed method performs better than an earlier compression scheme developed by Amerijckx et al. [1] and shows better subjective results in comparison to JPEG.

AB - In this paper, we propose a new image compression algorithm based on Kohonen self-organized maps. The compression is based on vector quantization (VQ) of the DCT coefficients of image blocks, where the VQ is implemented by a Kohonen network. At low bitrates, our proposed method performs better than an earlier compression scheme developed by Amerijckx et al. [1] and shows better subjective results in comparison to JPEG.

UR - https://www.scopus.com/pages/publications/0344272204

M3 - Paper

AN - SCOPUS:0344272204

SP - 267

EP - 270

T2 - IEEE International Conference on Image Processing 2003

Y2 - 14 September 2003 through 17 September 2003

ER -

Low bitrate image compression using self-organized Kohonen maps

Abstract

Conference

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Cite this