基於影像秘密分享和小波轉換之灰階影像著作權保護機制

這篇論文提出一種基於影像秘密分享和離散小波的灰階影像著作權保護機制，這個機制共包含兩個部份:秘密影像之產生與浮水印之取回。在秘密影像產生部份，首先透過離散小波轉換取出影像的特徵，並將取出的特徵和人眼可辦識的圖像浮水印透過影像秘密分享來產生秘密影像。在浮水印取回部份，首先取出待測影像的特徵，接著和秘密影像結合來取回浮水印，最後再將所取回的浮水印與原始浮水印做比較來驗證是否侵犯著作權。從實驗中顯示這個機制可以抵抗下列11 種影像處理: JPEG 失真壓縮、非均勻化雜訊加入、均勻化雜訊加入、模糊化、銳利化、均勻化、亮度調整、對比調整、縮小、裁剪和均等化。

關鍵字

離散小波轉換.影像秘密分享.浮水印；著作權保護

並列摘要

A copyright protection scheme for gray-level images based on image secret sharing and wavelet transformation is proposed in this thesis. The scheme contains a secret image generation phase and a watermark retrieval phase. In the generation phase, the scheme extracts the features from a host image using the discrete wavelet transformation (DWT), and then uses the features and the watermark, a visually recognizable pattern, to generate the secret image using the image secret sharing (ISS). In the retrieval phase, the watermark is retrieved by combining the secret image and the features obtained from the suspect image. The retrieved watermark is then compared with the original watermark for checking copyright. The experimental results show that the scheme can withstand 11 kinds of common image processing operations, including JPEG compression, varied noise adding, uniform noise adding, blurring, sharpening, averaging, brightness adjustment, contrast adjustment, scaling, cropping, and equalization.

並列關鍵字

參考文獻

[2] C.-C. Wang, S.-C. Tai, and C.-S. Yu, “Repeating image watermarking technique by the visual cryptography,” IEICE Trans. Fundamentals. E83-A, 1589-1598, 2000.

Technique Based on the Wavelet Transformation and Its Robustness on Image

[6] S. Pereia and T. Pun, “Robust template matching for affine resistant image

watermarks,” IEEE Trans. Image Processing, vol. 9, pp. 1123-1129, 2000.

[8] M. Kuribayashi and H. Tanaka, “A new digital watermarking scheme applying

國際替代計量

基於影像秘密分享和小波轉換之灰階影像著作權保護機制

未授權

主題瀏覽