Determination of adaptive quantization factors in coding-decoding process of JPEG2000 by using fuzzy logic

Sar Sardy; Syukri Suwandha; Lamyarni Ibrahim

doi:10.1117/12.580474

11 January 2005 Determination of adaptive quantization factors in coding-decoding process of JPEG2000 by using fuzzy logic

Sar Sardy, Syukri Suwandha, Lamyarni Ibrahim

Author Affiliations +

Proceedings Volume 5642, Information Optics and Photonics Technology; (2005) https://doi.org/10.1117/12.580474
Event: Photonics Asia, 2004, Beijing, China

Abstract

The JPEG2000 is new image compression standard, which develop different quantization factors in each sub-band of the wavelet transform, where those factors are attached in image format. In this paper, we develop an algorithm to determine those factors adaptively by using fuzzy logic, therefore it will became more suitable to each image condition, and also provides an effective and better compression ratio. The available low and high frequency image samples are used, and the criteria of output results such as: Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR), Entropy, etc., will be compared. The simulation results indicate that such algorithm can improve image quality as well as the compression performance accordingly.

Citation Download Citation

Sar Sardy, Syukri Suwandha, and Lamyarni Ibrahim "Determination of adaptive quantization factors in coding-decoding process of JPEG2000 by using fuzzy logic", Proc. SPIE 5642, Information Optics and Photonics Technology, (11 January 2005); https://doi.org/10.1117/12.580474

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