Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Robust watermarks are evaluated in terms of image fidelity and robustness.  extend this framework and apply reliability testing to robust watermark evaluation. Reliability is the probability that a watermarking algorithm will correctly detect or decode a watermark for a specified fidelity requirement under a given set of attacks and images. In reliability testing, a system is evaluated in terms of quality, load, capacity and performance. To measure quality that corresponds to image fidelity,  compensate for attacks to measure the fidelity of attacked watermarked images.  use the conditional mean of pixel values to compensate for valumetric attacks such as gamma correction and histogram equalization. To compensate for geometrical attacks,  use error concealment and perfect motion estimation assumption.  define capacity to be the maximum embedding strength parameter and the maximum data payload. Load is then defined to be the actual embedding strength and data payload of a watermark. To measure performance,  use bit error rate (BER) and receiver operating characteristics (ROC) and area under the curve (AUC) of the ROC curve of a watermarking algorithm for different attacks and images.  evaluate robust watermarks for various quality, loads, attacks, and images.
['Hyung Cook Kim', 'Edward J. Delp']
I am writing a research paper on a idea Reliability engineering approach to digital watermark evaluation
[{"from": "human", "value": "I am writing a research paper on a idea Reliability engineering approach to digital watermark evaluation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Robust watermarks are evaluated in terms of image fidelity and robustness.  extend this framework and apply reliability testing to robust watermark evaluation. Reliability is the probability that a watermarking algorithm will correctly detect or decode a watermark for a specified fidelity requirement under a given set of attacks and images. In reliability testing, a system is evaluated in terms of quality, load, capacity and performance. To measure quality that corresponds to image fidelity,  compensate for attacks to measure the fidelity of attacked watermarked images.  use the conditional mean of pixel values to compensate for valumetric attacks such as gamma correction and histogram equalization. To compensate for geometrical attacks,  use error concealment and perfect motion estimation assumption.  define capacity to be the maximum embedding strength parameter and the maximum data payload. Load is then defined to be the actual embedding strength and data payload of a watermark. To measure performance,  use bit error rate (BER) and receiver operating characteristics (ROC) and area under the curve (AUC) of the ROC curve of a watermarking algorithm for different attacks and images.  evaluate robust watermarks for various quality, loads, attacks, and images."}]