Paper Abstract and Keywords |
Presentation |
2017-01-31 10:30
Parameter Memorization-Free Reversible Data Hiding for HDR Images Ryo Oishi, Masaaki Fujiyoshi, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2016-82 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper proposes a reversible data hiding (RDH) method for high dynamic range (HDR) images. In HDR images, in contrast to ordinary low dynamic range (LDR) images, many possible pixel values are used to represent wider luminance range and broader color space. Thus, the histogram, the distribution of pixel values, of HDR images is practically sparse, and the proposed method well utilizes the sparseness of the histogram. The proposed method distorts an HDR image based on its histogram to hide data to the image imperceptibly. The method also extracts the hidden data from the distorted image and further recovers the original image from the distorted image, i.e., the proposed method is a RDH method. Conventional RDH methods for LDR images uses an image dependent parameter to hide data to an image and it needs the parameter to extract the hidden data and to recover the original image from the distorted image, i.e., the methods have to memorize an image dependent parameter per image. On the other hand, the proposed method extracts the hidden data and recover the original image from the distorted image without any image dependent parameter by data hiding which utilizes the sparseness of HDR images' histogram. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
lossless / information embedding / floating point numbers / non-linear quantization / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 449, EMM2016-82, pp. 49-54, Jan. 2017. |
Paper # |
EMM2016-82 |
Date of Issue |
2017-01-23 (EMM) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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EMM2016-82 |
Conference Information |
Committee |
EMM |
Conference Date |
2017-01-30 - 2017-01-31 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tohoku University (Miyagi) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Sense of Presence, Universal Media, Digital Entertainment, etc. |
Paper Information |
Registration To |
EMM |
Conference Code |
2017-01-EMM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Parameter Memorization-Free Reversible Data Hiding for HDR Images |
Sub Title (in English) |
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lossless |
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information embedding |
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floating point numbers |
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non-linear quantization |
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1st Author's Name |
Ryo Oishi |
1st Author's Affiliation |
Tokyo Metropolitan University (Tokyo Metro. Univ.) |
2nd Author's Name |
Masaaki Fujiyoshi |
2nd Author's Affiliation |
Tokyo Metropolitan University (Tokyo Metro. Univ.) |
3rd Author's Name |
Hitoshi Kiya |
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Tokyo Metropolitan University (Tokyo Metro. Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-01-31 10:30:00 |
Presentation Time |
30 minutes |
Registration for |
EMM |
Paper # |
EMM2016-82 |
Volume (vol) |
vol.116 |
Number (no) |
no.449 |
Page |
pp.49-54 |
#Pages |
6 |
Date of Issue |
2017-01-23 (EMM) |
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