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Studies on Digital Watermark Embedding Intensity Against Image Processing and Image Deterioration
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- NISHIO MASATO
- Graduate School of Science and Technology, Keio University
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- ANDO YUTAKA
- Department of Radiology, School of Medicine, Keio University
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- TSUKAMOTO NOBUHIRO
- Department of Radiological Sciences, Ibaraki Prefectural University of Health Sciences
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- KAWASHIMA HIRONAO
- Graduate School of Science and Technology, Keio University
Bibliographic Information
- Other Title
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- 画像処理に対する電子透かし強度と画質劣化の検討
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Description
In order to apply digital watermarking to medical imaging, it is required to find a trade-off between strength of watermark embedding and deterioration of image quality. In this study, watermarks were embedded in 4 types of modality images to determine the correlation among the watermarking strength, robustness against image processing, and image deterioration due to embedding. The results demonstrated that watermarks which were embedded by the least significant bit insertion method became unable to be detected and recognized on image processing even if the watermarks were embedded with such strength that could cause image deterioration. On the other hand, watermarks embedded by the Discrete Cosine. Transform were clearly detected and recognized even after image processing regardless of the embedding strength. The maximum level of embedding strength that will not affect diagnosis differed depending on the type of modality It is expected that embedding the patient information together with the facility information as watermarks will help maintain the patient information, prevent mix-ups of the images, and identify the test performing facilities. The concurrent use of watermarking less resistant to image processing makes it possible to detect whether any image processing has been performed or not.
Journal
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- Japanese Journal of Radiological Technology
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Japanese Journal of Radiological Technology 60 (4), 500-506, 2004
Japanese Society of Radiological Technology
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Details 詳細情報について
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- CRID
- 1390001206388949248
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- NII Article ID
- 110003434586
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- NII Book ID
- AN00197784
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- ISSN
- 18814883
- 03694305
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- PubMed
- 15159668
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- Abstract License Flag
- Disallowed