Stack-run adaptive wavelet image compression using wavelet packets

We report on the development of an adaptive wavelet image coder based on stack-run representation of the quantized coefficients. The coder works by selecting an optimal wavelet packet basis for the given image and encoding the quantization indices for significant coefficients and zero runs between c...

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Main Authors: Awan, A. Majid, Rajpoot, Nasir M., Hussain, Syed Afaq, Md. Sap, Mohd. Noor
Format: Article
Published: Penerbit UTM Press 2007
Subjects:
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author Awan, A. Majid
Rajpoot, Nasir M.
Hussain, Syed Afaq
Md. Sap, Mohd. Noor
author_facet Awan, A. Majid
Rajpoot, Nasir M.
Hussain, Syed Afaq
Md. Sap, Mohd. Noor
author_sort Awan, A. Majid
collection ePrints
description We report on the development of an adaptive wavelet image coder based on stack-run representation of the quantized coefficients. The coder works by selecting an optimal wavelet packet basis for the given image and encoding the quantization indices for significant coefficients and zero runs between coefficients using a 4-ary arithmetic coder. Due to the fact that our coder exploits the redundancies present within individual sub bands, its addressing complexity is much lower than that of the wavelet zerotree coding algorithms. Experimental results show coding gains of up to 1.4 dB over the benchmark wavelet coding algorithm.
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institution Universiti Teknologi Malaysia - ePrints
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publisher Penerbit UTM Press
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spelling utm.eprints-82042017-11-01T04:17:25Z http://eprints.utm.my/8204/ Stack-run adaptive wavelet image compression using wavelet packets Awan, A. Majid Rajpoot, Nasir M. Hussain, Syed Afaq Md. Sap, Mohd. Noor T Technology (General) We report on the development of an adaptive wavelet image coder based on stack-run representation of the quantized coefficients. The coder works by selecting an optimal wavelet packet basis for the given image and encoding the quantization indices for significant coefficients and zero runs between coefficients using a 4-ary arithmetic coder. Due to the fact that our coder exploits the redundancies present within individual sub bands, its addressing complexity is much lower than that of the wavelet zerotree coding algorithms. Experimental results show coding gains of up to 1.4 dB over the benchmark wavelet coding algorithm. Penerbit UTM Press 2007-12 Article PeerReviewed Awan, A. Majid and Rajpoot, Nasir M. and Hussain, Syed Afaq and Md. Sap, Mohd. Noor (2007) Stack-run adaptive wavelet image compression using wavelet packets. Jurnal Teknologi Maklumat, 19 (2). pp. 101-114. ISSN 0128-3790
spellingShingle T Technology (General)
Awan, A. Majid
Rajpoot, Nasir M.
Hussain, Syed Afaq
Md. Sap, Mohd. Noor
Stack-run adaptive wavelet image compression using wavelet packets
title Stack-run adaptive wavelet image compression using wavelet packets
title_full Stack-run adaptive wavelet image compression using wavelet packets
title_fullStr Stack-run adaptive wavelet image compression using wavelet packets
title_full_unstemmed Stack-run adaptive wavelet image compression using wavelet packets
title_short Stack-run adaptive wavelet image compression using wavelet packets
title_sort stack run adaptive wavelet image compression using wavelet packets
topic T Technology (General)
work_keys_str_mv AT awanamajid stackrunadaptivewaveletimagecompressionusingwaveletpackets
AT rajpootnasirm stackrunadaptivewaveletimagecompressionusingwaveletpackets
AT hussainsyedafaq stackrunadaptivewaveletimagecompressionusingwaveletpackets
AT mdsapmohdnoor stackrunadaptivewaveletimagecompressionusingwaveletpackets