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

Authors: Sar Sardy; Syukri Suwandha; Lamyarni Ibrahim;

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

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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