Wavelet Based Multi-Bit Fingerprinting Against Geometric Distortions
| Autor: | Won Gyum Kim, Seon Hwa Lee, Won Geun Oh, Yong-Seok Seo, Hye Won Jung |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Computer science
business.industry Mechanical Engineering Noise reduction Data_MISCELLANEOUS ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Data_CODINGANDINFORMATIONTHEORY Filter (signal processing) Translation (geometry) Image (mathematics) Wavelet Mechanics of Materials Computer Science::Computer Vision and Pattern Recognition Computer Science::Multimedia Code (cryptography) General Materials Science Computer vision Artificial intelligence business Rotation (mathematics) Digital watermarking |
| Zdroj: | Key Engineering Materials. :1301-1305 |
| ISSN: | 1662-9795 |
| DOI: | 10.4028/www.scientific.net/kem.321-323.1301 |
| Popis: | This paper presents a new image fingerprinting scheme which embeds a multi-bits fingerprinting code and is robust against the geometric attack such as rotation, scaling and translation. We construct a 64 bits fingerprinting code and embed into wavelet subband of 512x512 images repeatedly. In order to restore an image from geometric distortion a noise reduction filter is performed and a rectilinear tiling pattern is used as a template. Results of experimental studies show that our method is robust against geometric distortions and JPEG compression. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|