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Noise analysis based on 3D noise model

Project description

Quickstart

See the notebook tutorials.

TODO :

  • : sequences shapes : the operators of opr module return sequence of different shapes depending on the operator used, while the genseq module always return 3d T/V/H sequences --> by default all should return same sizes (3d TVH ?), and a flag could allow to switch to the other representation (where shape depends on noise type)
  • : lots of things could be done in the display module :
    • better 3d sequence viewer : add stats, sliders
    • classic python sequence viewer
    • same for spectrum viewer
    • allow differents scale for spectrums displays : normalized freq, sample#, real-space unit
  • : masked : add numpy masked array support (for dead pixel for eg...)
  • : add a "gaussian" checker to verify the histograms are approximately normal
  • : non normal pixel exclusion : add a simple function to identify non-normal pixels, and mask them
  • : add a module to read/load real tiff sequence
  • : should define a class container for 3d sequence ?
  • [ ] : should define a class container for noise analyser ?
  • [ ] : implement all in a nice GUI

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