A Study on Performance Evaluation Metrics for Digital Watermarking Algorithms

نویسنده

  • Dae-Jea Cho
چکیده

Even though diverse digital watermarking algorithm was developed to protect copyright, existing methods vary in performances according to image characteristics. While there are simple methods suitable for black and white images like medical images, there is an algorithm which shows the performance in complicated images like general nature images. Because of these reasons, evaluation metrics to evaluate the performances of various watermark algorithms are very diverse as well. In this paper, performance evaluation metrics suitable for each image characteristic will be suggested by analyzing and classifying various metrics which evaluates watermarking algorithm.

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تاریخ انتشار 2014