Digital watermarking based on shift invariant wavelets and numerical computations and its mathematical theory
Project/Area Number |
26400206
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Foundations of mathematics/Applied mathematics
|
Research Institution | Saga University |
Principal Investigator |
Minamoto Teruya 佐賀大学, 工学(系)研究科(研究院), 教授 (00294900)
|
Project Period (FY) |
2014-04-01 – 2017-03-31
|
Project Status |
Completed (Fiscal Year 2016)
|
Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
|
Keywords | 電子透かし / ウェーブレット解析 / 画質評価 / 早期癌強調 / 内視鏡画像 / 数値解析 / 画像解析 / ウェーブレット変換 / 早期癌自動検出 |
Outline of Final Research Achievements |
We propose a new digital image watermarking method based on the dyadic wavelet packet transform (DYWPT) and fast interval arithmetic (IA) techniques. This method produces watermarked images that have better quality and are robust with respect to various types of attacks. We also propose a new image quality degradation assessment method based on the dual-tree complex discrete wavelet transform (DT-CDWT) for evaluating the image quality. Moreover, we propose a new computer-aided method for diagnosing early esophageal cancer from endoscopic images by using the dyadic wavelet transform and the fractal dimension, and a new detection method for early esophageal cancer from flexible spectral imaging color enhancement (FICE) mode based on the Daubechies wavelet transform.
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Report
(4 results)
Research Products
(27 results)