Measuring the maximum magnitude of the difference between two signals.
Maximum error is useful for assessing the worst-case scenario of prediction accuracy Measuring the average squared difference between two signals.
It is calculated by normalizing the MSE with the signal power, enabling fair comparisons across different datasets and scales.
It downscale the MSE, providing a more interpretable and comparable measure for better understanding for outcome.
An extension of RMSE, which allows for signal comparisons between different datasets and models with varying scales.
In signal processing, signal-to-noise ratio is calculated as the ratio of signal power to noise power, typically expressed in decibels.
Instead, the pixel intensity corresponds to color values, such as white being represented as 255 and black as 0 A mathematical concept used to measure the distance between two vectors.
Unlike other similarity measures, SSIM leverages the strong interdependencies between neighboring pixels, providing a measure that closely aligns with human visual perception and feeling of similarity.