Posimetric imaging:
Linearity by superposition
- Build a "Superposigram"
- image (1) pixels on first axis
- image (2) pixels on second axis
- image (1 + 2) pixels on third axis
- "count" determines darkness on plot
- slenderness of the 'posigram gives a true and meaningful measure of
a camera's noise performance...
Example of a 'posigram:
Example of a 'posigram after denoising ("slenderization"):
Example of a 'posigram after denoising ("slenderization") in lightspace:
Since PSF and MTF should factor into a perceptual noise model,
the 'posigram unveils false claims that otherwise attempt to favor the Canon 1D.
linearization shows the success of the calibration and denoising
Applications of comparametric image processing:
- Retroactive gain change (vector multiplication)
- Image superposition (vector addition)