IEICE TRANSACTIONS on Information
Codestream-Based Identification of JPEG 2000 Images with Different Coding Parameters
Summary :
A method of identifying JPEG 2000 images with different coding parameters, such as code-block sizes, quantization-step sizes, and resolution levels, is presented. It does not produce false-negative matches regardless of different coding parameters (compression rate, code-block size, and discrete wavelet transform (DWT) resolutions levels) or quantization step sizes. This feature is not provided by conventional methods. Moreover, the proposed approach is fast because it uses the number of zero-bit-planes that can be extracted from the JPEG 2000 codestream by only parsing the header information without embedded block coding with optimized truncation (EBCOT) decoding. The experimental results revealed the effectiveness of image identification based on the new method.
- Publication
- IEICE TRANSACTIONS on Information Vol.E95-D No.4 pp.1120-1129
- Publication Date
- 2012/04/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E95.D.1120
- Type of Manuscript
- PAPER
- Category
- Image Processing and Video Processing
Authors
Keyword
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Osamu WATANABE, Takahiro FUKUHARA, Hitoshi KIYA, "Codestream-Based Identification of JPEG 2000 Images with Different Coding Parameters" in IEICE TRANSACTIONS on Information,
vol. E95-D, no. 4, pp. 1120-1129, April 2012, doi: 10.1587/transinf.E95.D.1120.
Abstract: A method of identifying JPEG 2000 images with different coding parameters, such as code-block sizes, quantization-step sizes, and resolution levels, is presented. It does not produce false-negative matches regardless of different coding parameters (compression rate, code-block size, and discrete wavelet transform (DWT) resolutions levels) or quantization step sizes. This feature is not provided by conventional methods. Moreover, the proposed approach is fast because it uses the number of zero-bit-planes that can be extracted from the JPEG 2000 codestream by only parsing the header information without embedded block coding with optimized truncation (EBCOT) decoding. The experimental results revealed the effectiveness of image identification based on the new method.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E95.D.1120/_p
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@ARTICLE{e95-d_4_1120,
author={Osamu WATANABE, Takahiro FUKUHARA, Hitoshi KIYA, },
journal={IEICE TRANSACTIONS on Information},
title={Codestream-Based Identification of JPEG 2000 Images with Different Coding Parameters},
year={2012},
volume={E95-D},
number={4},
pages={1120-1129},
abstract={A method of identifying JPEG 2000 images with different coding parameters, such as code-block sizes, quantization-step sizes, and resolution levels, is presented. It does not produce false-negative matches regardless of different coding parameters (compression rate, code-block size, and discrete wavelet transform (DWT) resolutions levels) or quantization step sizes. This feature is not provided by conventional methods. Moreover, the proposed approach is fast because it uses the number of zero-bit-planes that can be extracted from the JPEG 2000 codestream by only parsing the header information without embedded block coding with optimized truncation (EBCOT) decoding. The experimental results revealed the effectiveness of image identification based on the new method.},
keywords={},
doi={10.1587/transinf.E95.D.1120},
ISSN={1745-1361},
month={April},}
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TY - JOUR
TI - Codestream-Based Identification of JPEG 2000 Images with Different Coding Parameters
T2 - IEICE TRANSACTIONS on Information
SP - 1120
EP - 1129
AU - Osamu WATANABE
AU - Takahiro FUKUHARA
AU - Hitoshi KIYA
PY - 2012
DO - 10.1587/transinf.E95.D.1120
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2012
AB - A method of identifying JPEG 2000 images with different coding parameters, such as code-block sizes, quantization-step sizes, and resolution levels, is presented. It does not produce false-negative matches regardless of different coding parameters (compression rate, code-block size, and discrete wavelet transform (DWT) resolutions levels) or quantization step sizes. This feature is not provided by conventional methods. Moreover, the proposed approach is fast because it uses the number of zero-bit-planes that can be extracted from the JPEG 2000 codestream by only parsing the header information without embedded block coding with optimized truncation (EBCOT) decoding. The experimental results revealed the effectiveness of image identification based on the new method.
ER -
English
