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User Manual - ProVideo GUI v1.2.4
4 The “Calibration” test mode will configure a black and white output mode, in which
defect pixels can be spotted more easily. The “Validation” mode will turn the output
image black and highlight currently detected or setup defect pixels.
5 The automatic table generation will use the currently configured auto-detection
level and perform a single shot detection run. The resulting defect pixels will be
stored in the defect pixel table. Afterwards the automatic detection can be set to
only table based to avoid the detection of false positives. Note: You should use
defined lighting conditions and a grey test image to perform the automatic table
generation.
6 Transmit the pixels entered in the table to the device. You have to click this
button to apply changes to the table.
7 If this is box is checked the table will also be stored in the permanent memory and
will be restored after a power cycle. If the box is not checked the table is only
stored in the non-permanent memory and will be reset after a power cycle.
8 Load the table from the device. This will always load from the permanent device
memory!
9 Table of defect pixel positions. Double-click a value to edit it.
10 Add a position to the table.
11 Delete the selected position from the table.
12 Sort the table and remove duplicates.
13 Delete all positions from the table.
14 Import or export a CSV file with the defect pixel table.
How-To use the defect pixel correction:
Most ATOM one devices support two different correction modes, they can automatically
detect defect pixels and correct them or use a user defined table to do so (you can also
combine both methods).
The easiest way is to use the automatic detection. Therefore set the "Correction Mode" to
"Auto-Detection" or "Combined". Then increase the "Auto-Detection Level" until the defect
pixels are no longer visible. Please note that a higher detection level will increase the
amount of pixels found, but it will also increase the amount of false-positives which means
it will slightly degrade image quality. So you should keep the detection level as low as
possible.
For best image quality you will have to use the table based defect pixel correction.
Therefore you need to record the image of the ATOM one and find out the pixel positions
(row and column) of the defect pixels. You then have to add them to the defect pixel table.
When manually searching for defect pixels you can use the “Calibration” Test Mode. It will
configure a black and white output mode, in which defect pixels can be spotted more
easily. The “Validation” Test Mode can be used to verify if the correction is working as
intended, it will turn the output image black and highlight currently detected or setup defect
pixels.
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