Invariant digital image watermarking using Adaptive Harris Corner Detector

Xiao Chen Yuan, Chi Man Pun

研究成果: Conference contribution同行評審

8 引文 斯高帕斯(Scopus)

摘要

A robust and geometric invariant digital image watermarking scheme based on feature extraction and histogram distribution is proposed in this paper. The feature extraction method called Harris Corner Detector is adopted and revised by adjusting the response threshold value and ranking the response R value to extract feature points and thus define the regions for watermark data bits embedding and extraction. Each embedding region is a square matrix centering at the selected feature points. For watermark embedding, some pixels are moved to form a specific pattern in the intensity-level histogram distribution in each embedding region, indicating the watermark. For watermark extraction, the Adaptive Harris Corner Detector is adopted to restore the image to its original un-rotated position. According to the intensity-level histogram distribution in each embedded region, the watermark is extracted. Experimental results show that the proposed scheme is very robust against rotation, scaling, JPEG compression, median filtering, low-pass Gaussian filtering and also noise pollution.

原文English
主出版物標題Proceedings - 2011 8th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2011
頁面109-113
頁數5
DOIs
出版狀態Published - 2011
對外發佈
事件2011 8th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2011 - Singapore, Singapore
持續時間: 17 8月 201119 8月 2011

出版系列

名字Proceedings - 2011 8th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2011

Conference

Conference2011 8th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2011
國家/地區Singapore
城市Singapore
期間17/08/1119/08/11

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