colour.contrast_sensitivity_function¶
- colour.contrast_sensitivity_function(method='Barten 1999', **kwargs)[source]¶
Returns the contrast sensitivity \(S\) of the human eye according to the contrast sensitivity function (CSF) described by given method.
- Parameters
method (unicode, optional) – {‘Barten 1999’}, Computation method.
E (numeric or array_like, optional) – {
colour.contrast.contrast_sensitivity_function_Barten1999()}, Retinal illuminance \(E\) in Trolands.N_max (numeric or array_like, optional) – {
colour.contrast.contrast_sensitivity_function_Barten1999()}, Maximum number of cycles \(N_{max}\) over which the eye can integrate the information.T (numeric or array_like, optional) – {
colour.contrast.contrast_sensitivity_function_Barten1999()}, Integration time \(T\) in seconds of the eye.X_0 (numeric or array_like, optional) – {
colour.contrast.contrast_sensitivity_function_Barten1999()}, Angular size \(X_0\) in degrees of the object in the x direction.Y_0 (numeric or array_like, optional) – {
colour.contrast.contrast_sensitivity_function_Barten1999()}, Angular size \(Y_0\) in degrees of the object in the y direction.X_max (numeric or array_like, optional) – {
colour.contrast.contrast_sensitivity_function_Barten1999()}, Maximum angular size \(X_{max}\) in degrees of the integration area in the x direction.Y_max (numeric or array_like, optional) – {
colour.contrast.contrast_sensitivity_function_Barten1999()}, Maximum angular size \(Y_{max}\) in degrees of the integration area in the y direction.k (numeric or array_like, optional) – {
colour.contrast.contrast_sensitivity_function_Barten1999()}, Signal-to-noise (SNR) ratio \(k\).n (numeric or array_like, optional) – {
colour.contrast.contrast_sensitivity_function_Barten1999()}, Quantum efficiency of the eye \(n\).p (numeric or array_like, optional) – {
colour.contrast.contrast_sensitivity_function_Barten1999()}, Photon conversion factor \(p\) in \(photons\div seconds\div degrees^2\div Trolands\) that depends on the light source.phi_0 (numeric or array_like, optional) – {
colour.contrast.contrast_sensitivity_function_Barten1999()}, Spectral density \(\phi_0\) in \(seconds degrees^2\) of the neural noise.sigma (numeric or array_like, optional) – {
colour.contrast.contrast_sensitivity_function_Barten1999()}, Standard deviation \(\sigma\) of the line-spread function resulting from the convolution of the different elements of the convolution process.u (numeric) – {
colour.contrast.contrast_sensitivity_function_Barten1999()}, Spatial frequency \(u\), the cycles per degree.u_0 (numeric or array_like, optional) – {
colour.contrast.contrast_sensitivity_function_Barten1999()}, Spatial frequency \(u_0\) in \(cycles\div degrees\) above which the lateral inhibition ceases.
- Returns
Contrast sensitivity \(S\).
- Return type
ndarray
References
[], [], [], [],
Examples
>>> contrast_sensitivity_function(u=4) 360.8691122... >>> contrast_sensitivity_function('Barten 1999', u=4) 360.8691122...