The concept of Canon is interesting. They collect dust data (small
amount of information) and store it in the camera. Then (to my
understanding) they append it to .CR2 and .JPG
The photo professionals is expected to extract this data and use it to
approximate the area.
I think this have been brought up before
https://www.mail-archive.com/[email protected]/msg02120.html
https://redmine.darktable.org/issues/8422
I can observe it in a very particular situation but when did observed is
very consistent. When long exposure is taken usually the aperture is
very much closed - so the chance of the dust being there is extreme.
Especially if located on the top of the screen (where the sky is).
Cleaning the sensor is good however - the issues are - if the camera is
under warranty and the blower does not do the job only wet cleaning is
the solution (this voids warranty).
Even if the warranty is over - the options are - send to manufacturer,
sent to a shop or do it yourself. Some times (if on a trip for example)
no solution would work. Since the camera collects the data and attaches
to the image - it makes sense that this can be used. Last but not least
- the process repeats since all DLSR would attract dust. I am not sure
however how many cameras have a tool to deal with it (like collect dust
information).
The dust is always slightly darker blurred spots. Some info below
http://cpn.canon-europe.com/content/education/infobank/capturing_the_image/sensor_cleaning.do
Regards,
B
On 2016-09-06 01:18 AM, [email protected] wrote:
On Tue, Sep 6, 2016, at 01:09, Jason Polak wrote:
Interesting problem. I would of thought it possible to at least draw the
masks for the spot removal module and save it as a preset, but I just
tried it and it's not possible to save drawn masks as a preset, most
likely because it depends on the exact dimensions of the imported image.
Maybe someone can make a Lua script that does this?
The problem with this approach is that the spot removal module "clones" the
image info from another area over the selected spot, and the appropriate area to use for
this varies from image to image.
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