Sensor Settings 76
► Import the ARRIRAW frame grab into the ARRI Reference Tool.
► Use the ARRI Reference Tool to mark defect pixels. The marked pixel coordinates are stored in an
XML file called the User Pixel Mask. Please note that it is advisable to mark the least number of
pixels necessary, as too many marked pixels can be counter productive.
Please refer to the ARRI Reference Tool user manual for further information.
► Save the User Pixel Mask to the USB memory stick in folder ARRI/ALEXA35/SENSOR.
► Insert the USB memory stick into the camera.
► Select MENU > System > Sensor > User Pixel Masking > Install User Pixel Mask to load the mask
into the camera.
► After a restart of the camera, the marked pixels will be masked using information from surrounding
pixels. This masking is applied to the images delivered from the sensor, before any other
processing takes place, and therefore becomes active on all outputs.
► Carefully check the end result by visually inspecting the areas where you have marked pixels; if too
many pixels are marked too close to each other, or if pixels are marked close to other pixels that are
already marked in the static pixel mask, the result could be uncorrectable clusters, which are more
visible than the original defect pixels.
As an added service, it is possible to send the User Pixel Mask to ARRI Service at service@arri.com
for verification. We strongly recommend that you take advantage of this free service, as sometimes,
clusters are difficult to spot depending on the background. Please note, however, that in the end, it is
the responsibility of the person creating the User Pixel Mask to verify that no clusters are formed.
NOTICE
Please note, that the User Pixel masking feature is only a temporary solution to mask defect pixels.
Defect pixels should be dealt with by sensor calibration at an ARRI service department.
A User Pixel Mask is a stopgap solution between when the defect is noticed, and when the
camera is recalibrated, to verify the sensor is still functioning within ARRI specifications and to
comprehensively assess and permanently and automatically compensate for defect pixels.
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