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| Presentation | 2021-05-21 13:35 A Study on Feature Extraction Suitable for Double JPEG Compression Analysis Based on Statistical Bias Observation of DCT Coefficients Daichi Takeshita, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.)  IT2021-12 EMM2021-12 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Pictures taken by smart phones and camera devices are generally compressed by JPEG by default when they are saved. If such an image is edited, it is decompressed and processed, and then it is compressed again by JPEG. So, an edited must be compressed by JPEG more than once. Using this characteristic, a forensic technique has been studied to detect image tampering by detecting distortions caused by double compression. In our previous work, we observed the histogram calculated from some low frequency components in each 8×8 block of 512×512 pixel images to analyze the JPEG compression history using convolutional neural networks (CNN). However, there is no detailed consideration about the range of observed histogram and the selection of DCT coefficients to extract the features from a given image. In this study, we first examine the range of histogram to measure the usefulness for classification of double JPEG compressed images, and then examined the classification accuracy by increasing the number of DCT coefficients observed in the low to mid frequency components.Our experimental results indicated that, $[-40,40]$ was an appropriate range for the observation of histogram, and the selection of DCT coefficients strongly depends on the image size because of the difference in the amount of useful statistical information. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | quantization step / CNN / JPEG compression / histogram / DCT coefficients / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 29, EMM2021-12, pp. 66-71, May 2021. | |
| Paper # | EMM2021-12 | |
| Date of Issue | 2021-05-13 (IT, EMM) | |
| ISSN | 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) | |
| Download PDF | IT2021-12 EMM2021-12 |
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| Conference Information | |
| Committee | EMM IT |
| Conference Date | 2021-05-20 - 2021-05-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information Security, Information Theory, Information Hiding, etc. |
| Paper Information | |
| Registration To | EMM |
| Conference Code | 2021-05-EMM-IT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Feature Extraction Suitable for Double JPEG Compression Analysis Based on Statistical Bias Observation of DCT Coefficients |
| Sub Title (in English) | |
| Keyword(1) | quantization step |
| Keyword(2) | CNN |
| Keyword(3) | JPEG compression |
| Keyword(4) | histogram |
| Keyword(5) | DCT coefficients |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Daichi Takeshita |
| 1st Author's Affiliation | Okayama University (Okayama Univ.) |
| 2nd Author's Name | Minoru Kuribayashi |
| 2nd Author's Affiliation | Okayama University (Okayama Univ.) |
| 3rd Author's Name | Nobuo Funabiki |
| 3rd Author's Affiliation | Okayama University (Okayama Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-05-21 13:35:00 |
| Presentation Time | 25 minutes |
| Registration for | EMM |
| Paper # | IT2021-12, EMM2021-12 |
| Volume (vol) | vol.121 |
| Number (no) | no.28(IT), no.29(EMM) |
| Page | pp.66-71 |
| #Pages | 6 |
| Date of Issue | 2021-05-13 (IT, EMM) |
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