Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Presently, almost all of the watermarking algorithms resistant to geometric attacks are dependent on the synchronization. , a geometrically robust watermarking scheme, which is not sensitive to synchronization, is proposed based on self-recognition watermark pattern. The structure of watermark pattern is elaborately designed, which makes the pattern recognized by its structure. Different watermark corresponds to different watermark pattern. The watermark bits can be decoded by recognizing the structures of detected pattern. This method's complexity is very low because no additional work is needed to meet the synchronization requirement and no area partitioning and normalization are needed. Experimental results show that this scheme is not only robust against geometric attacks including rotation, scaling, cropping, aspect ratio changing etc., but also resist numeric processes including Gaussian additive noise, low-pass filtering and lossy compression etc.
['Hefei Ling', 'Zhengding Lu', 'Fuhao Zou', 'Wugang Yuan']
I am writing a research paper on a idea A Geometrically Robust Watermarking Scheme Based on Self-Recognition Watermark Pattern
[{"from": "human", "value": "I am writing a research paper on a idea A Geometrically Robust Watermarking Scheme Based on Self-Recognition Watermark Pattern"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Presently, almost all of the watermarking algorithms resistant to geometric attacks are dependent on the synchronization. , a geometrically robust watermarking scheme, which is not sensitive to synchronization, is proposed based on self-recognition watermark pattern. The structure of watermark pattern is elaborately designed, which makes the pattern recognized by its structure. Different watermark corresponds to different watermark pattern. The watermark bits can be decoded by recognizing the structures of detected pattern. This method's complexity is very low because no additional work is needed to meet the synchronization requirement and no area partitioning and normalization are needed. Experimental results show that this scheme is not only robust against geometric attacks including rotation, scaling, cropping, aspect ratio changing etc., but also resist numeric processes including Gaussian additive noise, low-pass filtering and lossy compression etc."}]