FourierProcesses

THIS position should be used for a brief introduction (max 2 sentences!) of the logic, stating WHAT and WHY it is doing something.

Here, a general/generic description of HOW the logic is USED should be given. Try to be as general as possible, but also mention prerequisites, restrictions, advantages, requirements which are specific of this logic. Basically everything the user needs to know to successfully use this logic.

Calculates a Bispectrum for the two input image stacks, which is defined as the third order cumulant-generating function:

B(f1,f2) = F*(f1+f2).F(f1).F(f2)

where f1 and f2 are the input images , F is an images' Fourier Transform and F* its conjugate.

For every pair of images, a bispectrum is generated. While both inputs can have different sizes, the amount of generated bispectra is equal to the maximum number of unambigous image pairs that can be formed, which is the size of the smaller of the two stacks.

Also, both images need to have the same dimensions (and dimensionality).

Use this module to generate power spectra of single particles used as input data during CTF correction. Note: For K2 Particles, turn off the highpass filter for power spectra.

This processor performs Fourier transformations either from real-to-complex (forward), complex-to-real (backward) or complex-to-complex. Attention: Due to algorithmic reasons, every pixel value of the images is scaled by the factor sidelength x sidelength.

This processor coarses images, this is performed in Fourier space. This allows floating point numbers to be used as coarse factors.

This processor computes the power spectrum of EM micrograph data by splitting it in multiple smaller images to enhance contrast and visibility of Thon rings. It only works properly on even sized images.

This processor computes the power spectrum or phase spectrum of real or complex image data. Input images need to meet the following requirements: Height == Width, Height % 2 == 0.