- colour.utilities.metric_psnr(a: ArrayLike, b: ArrayLike, max_a: Number = 1, axis: Optional[Union[int, Tuple[int]]] = None) FloatingOrNDArray #
Compute the peak signal-to-noise ratio (PSNR) between given variables \(a\) and \(b\).
a (ArrayLike) – Variable \(a\).
b (ArrayLike) – Variable \(b\).
max_a (Number) – Maximum possible pixel value of the \(a\) variable.
axis (Optional[Union[int, Tuple[int]]]) – Axis or axes along which the means are computed. The default is to compute the mean of the flattened array. If this is a tuple of ints, a mean is performed over multiple axes, instead of a single axis or all the axes as before.
Peak signal-to-noise ratio (PSNR).
- Return type:
>>> a = np.array([0.48222001, 0.31654775, 0.22070353]) >>> b = a * 0.9 >>> metric_psnr(a, b) 28.9568515...