The spatial noise histogram calculates and evaluates the statistical difference between two neighboring pixels in vertical and horizontal direction. I.e. it shows the sensor's spatial background pattern like the sensitivity shifts of each pixel. An ideal sensor or camera has a spatial noise of zero, a real sensor will not. analog gain for example will result in additional noise. However, you have to keep in mind the temporal noise as well.
For the information displayed in the upper region of the graphical view read: Channel::Direction (Mean/average difference, most frequent value count/ value, Standard deviation)
Example: For a single channel(Mono) image the output of 'C0Hor(3.43, 5086/ 0, 9.25), C0Ver(3.26, 4840/ 0, 7.30) will indicate that the mean difference between pixels in horizontal direction is 3.43, the most frequent difference is 0 and this difference is present 5086 times in the current AOI. The standard deviation in horizontal direction is 9.25. The C0Ver value list contains the same data but in vertical direction.
- See also
- Other Drawing/Display Options
