Reduction of Information Loss Based on EMEE Scores to Maximize Visual Appeal and Rotation Parameters

In This paper, two training systems for selecting PLIP parameters have been demonstrated. The first compares the MSE of a high precision result to that of a low precision approximation in order to minimize loss of information. The second uses EMEE scores to maximize visual appeal and further reduce information loss. It was shown that, for the general case of basic addition, subtraction, or multiplication of any two images, ?, k, and ? = 1026 and B = 2 are effective parameter values. It was also found that, for more specialized cases, it can be effective to use the training systems outlined here for a more application-specific PLIP. Further, the case where different parameter values are used was shown, demonstrating the potential practical application of data hiding.