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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