The analytic hierarchy process is used to measure evaluator preference. Weight measurement with a decision making solution is required to solve this issue.

In the second experiment, the situation in which digital watermarking evaluators have different preferences is discussed. A total of 120 samples were evaluated according to three different metrics, namely, quality, payload, and complexity, to generate a set of digital watermarking samples. Sixty audio samples from different audio styles are tested with two algorithms. In the first experiment, a noise gate-based digital watermarking approach is developed, and the scheme for the noise gate digital watermarking approach is enhanced. Therefore, this paper presents a new methodology for digital watermarking evaluation and benchmarking based on large-scale data by using external evaluators and a group decision making context. Well-known benchmarking approaches are limited to robust watermarking. However, these approaches still possess a number of limitations, such as fixing several attributes on the account of other attributes. A few approaches have been presented to implement digital watermarking evaluation and benchmarking frameworks.

Digital watermarking evaluation and benchmarking are challenging tasks because of multiple evaluation and conflicting criteria.

Visual watermark 4.27 activation key