The artifacts of low-bit rate quantization in images cannot be removed satisfactorily by known methods. We propose decomposition of images as HSI and LSI (higher- and lower- significance images), followed by subsampling and reconstruction methods for LSI. Experiments show significant improvement in image quality, as compared to other methods.
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Asif HAYAT, Tae-Sun CHOI, "Sampling Low Significance Bits Image to Reduce Quantized Bit Rate" in IEICE TRANSACTIONS on Information,
vol. E87-D, no. 5, pp. 1276-1279, May 2004, doi: .
Abstract: The artifacts of low-bit rate quantization in images cannot be removed satisfactorily by known methods. We propose decomposition of images as HSI and LSI (higher- and lower- significance images), followed by subsampling and reconstruction methods for LSI. Experiments show significant improvement in image quality, as compared to other methods.
URL: https://globals.ieice.org/en_transactions/information/10.1587/e87-d_5_1276/_p
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@ARTICLE{e87-d_5_1276,
author={Asif HAYAT, Tae-Sun CHOI, },
journal={IEICE TRANSACTIONS on Information},
title={Sampling Low Significance Bits Image to Reduce Quantized Bit Rate},
year={2004},
volume={E87-D},
number={5},
pages={1276-1279},
abstract={The artifacts of low-bit rate quantization in images cannot be removed satisfactorily by known methods. We propose decomposition of images as HSI and LSI (higher- and lower- significance images), followed by subsampling and reconstruction methods for LSI. Experiments show significant improvement in image quality, as compared to other methods.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - Sampling Low Significance Bits Image to Reduce Quantized Bit Rate
T2 - IEICE TRANSACTIONS on Information
SP - 1276
EP - 1279
AU - Asif HAYAT
AU - Tae-Sun CHOI
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2004
AB - The artifacts of low-bit rate quantization in images cannot be removed satisfactorily by known methods. We propose decomposition of images as HSI and LSI (higher- and lower- significance images), followed by subsampling and reconstruction methods for LSI. Experiments show significant improvement in image quality, as compared to other methods.
ER -