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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 19 of 19  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-24
10:00
Tokushima Naruto University of Education Hierarchical lossless compression of high dynamic range images using predictors based on cellular neural networks
Seiya Kushi, Kazuki Nakashima, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2023-85 MICT2023-40 MBE2023-31
We have been developing a scalable lossless coding method using cellular neural networks (CNN) as predictors. This metho... [more] NLP2023-85 MICT2023-40 MBE2023-31
pp.12-15
BioX, SIP, IE, ITE-IST, ITE-ME [detail] 2023-05-18
15:15
Mie Sansui Hall, Mie University
(Primary: On-site, Secondary: Online)
SIP2023-5 BioX2023-5 IE2023-5 Compressing video and images with lossy compression degrades input data.Therefore, image quality evaluation is necessary... [more] SIP2023-5 BioX2023-5 IE2023-5
pp.16-21
EMM 2023-03-02
13:00
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
[Poster Presentation] An extension of reversible data hiding in encrypted images with high compression performance and flexible processing order
Eichi Arai, Shoko Imaizumi (Chiba Univ.) EMM2022-67
In this paper, we propose a reversible data hiding in encrypted images (RDH-EI) method that achieves both a high compres... [more] EMM2022-67
pp.1-6
IT, EMM 2022-05-17
13:25
Gifu Gifu University
(Primary: On-site, Secondary: Online)
A Note on Time-Varying Two-Dimensional Autoregressive Models and the Bayes Codes
Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2022-2 EMM2022-2
This paper proposes a two-dimensional autoregressive model with time-varying parameters as a stochastic model for explai... [more] IT2022-2 EMM2022-2
pp.7-12
SIP, IT, RCS 2021-01-22
15:15
Online Online An Image Generative Model with Various Auto-regressive Coefficients Depending on Neighboring Pixels and the Bayes Code for It
Masahiro Takano, Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2020-108 SIP2020-86 RCS2020-199
In this papar, we propose an expanded model of an autoregressive stochastic generative model for images. This model cont... [more] IT2020-108 SIP2020-86 RCS2020-199
pp.253-258
IT, EMM 2020-05-28
15:25
Online Online An Autoregressive Image Generative Model and the Bayes Code for It
Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2020-4 EMM2020-4
In this paper, we propose an autoregressive stochastic generative model for images.
This model should be one of the mos... [more]
IT2020-4 EMM2020-4
pp.19-24
EA, EMM 2016-11-17
16:40
Oita Compal Hall (Oita) An Extension of Block-Permutation-Based-Encryption Schemes for Lossless Image Compression
Takeshi Ogasawara, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (TMU) EA2016-55 EMM2016-61
This paper proposes a permutation-based image encryption scheme for lossless coded images. The conventional scheme gener... [more] EA2016-55 EMM2016-61
pp.43-48
PRMU, IE, MI, SIP 2016-05-20
15:40
Aichi   Multi-hypothesis Pixel Predictor using Cartesian Genetic Programming
Yiding Zhao, Seishi Takamura (NTT) SIP2016-33 IE2016-33 PRMU2016-33 MI2016-33
In lossless image coding, pixel prediction plays an important role in utilizing adjacent pixel values to reduce residual... [more] SIP2016-33 IE2016-33 PRMU2016-33 MI2016-33
pp.173-178
IE, ITE-ME, IPSJ-AVM, ITE-CE [detail] 2015-08-03
13:00
Tokyo Tokyo Metropolitan Univ. An Image Encryption Method Allowing Lossless Compression
Kenta Kurihara, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) IE2015-49
Conventional secure image transmission is based on a Compression-then-Encryption system where image encryption has to be... [more] IE2015-49
pp.19-24
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2015-02-23
15:15
Hokkaido Hokkaido Univ. Improvement of PNG Image Compression by Optimizing Filter Selection
Teppei Takahashi, Akira Kubota (Chuo Univ.) ITS2014-59 IE2014-86
In this paper, we propose an optimal filter selection to improve PNG (Portable Network Graphics) compression. This metho... [more] ITS2014-59 IE2014-86
pp.217-221
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-10
09:50
Hokkaido Hokkaido University Near-lossless image coding considering the influence of re-encoding
Hiroyuki Kobayashi (Tokyo Metro. Coll. of Ind. of Tech.), Masahiro Iwahashi (Nagaoka Univ. of Tech.), Hitoshi Kiya (Tokyo Metro. Univ.) CAS2014-22 VLD2014-31 SIP2014-43 MSS2014-22 SIS2014-22
This report proposes a new quantization method, called zero-skip quantization and a near-lossless coding method based on... [more] CAS2014-22 VLD2014-31 SIP2014-43 MSS2014-22 SIS2014-22
pp.111-116
SIP 2013-08-30
13:00
Tokyo Tokyo University of Agriculture and Technology DCT-Lifting Factorization of Fast Lapped Transform
Taizo Suzuki, Hiroyuki Kudo (Univ. of Tsukuba) SIP2013-80
This paper presents a new realization of integer fast lapped transform (LT) with DCT-lifting structure which block-lifti... [more] SIP2013-80
pp.73-77
SIP, CAS, CS 2013-03-14
13:50
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) Lossless Compression of High Dynamic Range Images Encoded in 32-bit RGBE Format by Simple Bitplane Coding
Toshinori Fukumoto, Junghyeun Hwang, Hisakazu Kikuchi (Niigata univ.), Kazuma Shinoda (Utsunomiya univ.), Masahiro Okuda (City Univ. of Kitakyushu) CAS2012-104 SIP2012-135 CS2012-110
A method of lossless compression of high dynamic range (HDR) images encoded in 32-bit RGBE format is presented. Simple b... [more] CAS2012-104 SIP2012-135 CS2012-110
pp.45-50
VLD, CAS, SIP 2008-06-26
10:35
Hokkaido Hokkaido Univ. Progressive Bitplane Coding for Lossless Image Compression
Kunio Funahashi, Hisakazu Kikuchi, Shogo Muramatsu (Niigata Univ.) CAS2008-5 VLD2008-18 SIP2008-39
A lossless compression system for digital images is proposed to equip itself with two functions of progressive transmiss... [more] CAS2008-5 VLD2008-18 SIP2008-39
pp.23-28
ISEC 2007-12-19
16:35
Tokyo Kikai-Shinko-Kaikan Bldg. A Lossless Image Authentication Scheme for Tamper-Proofing
Tomoya Tanaka, Koki Abe (UEC) ISEC2007-126
This paper proposes an image authentication scheme that does not have any influence
on images at all.
Conventional se... [more]
ISEC2007-126
pp.101-106
CAS, NLP 2007-10-18
11:10
Tokyo Musashi Institute of Technology Computational Complexity Reduction for Allpass-based Image Coding
Kosuke Ohno, Xi Zhang (UEC) CAS2007-40 NLP2007-68
To obtain better coding performance in wavelet-based image compression,
it is necessary for wavelet filters to satisfy... [more]
CAS2007-40 NLP2007-68
pp.31-36
ICD, SIP, IE, IPSJ-SLDM 2006-10-27
15:05
Miyagi   Lossy to Lossless Image Coding Using Allpass Filters
Kosuke Ohno, Xi Zhang (UEC)
To obtain a better coding performance in wavelet-based image compression, it is necessary for wavelet filter banks to sa... [more] SIP2006-114 ICD2006-140 IE2006-92
pp.79-84
CAS, NLP 2005-09-16
15:35
Niigata Nagaoka Univ. of Technology Wavelet-Based Lossless Image Coding Using a Complex Allpass Filter
Noriaki Fukuda (Nagaoka Univ. of Tech.), Xi Zhang (Univ. of Electro-Comm.), Toshinori Yoshikawa, Yoshinori Takei, Yasunori Sugita (Nagaoka Univ. of Tech.)
To obtain a better coding performance in wavelet-based image compression, it is necessary for wavelet filter banks to sa... [more] CAS2005-45 NLP2005-58
pp.67-72
IE, ITS, ITE-AIT, ITE-ME 2005-02-04
13:00
Hokkaido   Medical Imgae Lossless Compression for Volume Rendering
Atsushi Myojoyama (TMS-HS)
In this study, for accurate preservation and the use of the measurement data which were generated by MDCT and MRI, we pr... [more] ITS2004-73 IE2004-207
pp.47-50
 Results 1 - 19 of 19  /   
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