[sane-devel] Reflecta ProScan / Crystalscan 7200 PIE film scanner update

[Michael Rickmann]

Hi Jan, hello Klaus,

Am 12.09.2012 16:03, schrieb Vleeshouwers, J.M.:
> Hi Michael (& Klaus),
>
> Summarizing (from 2 messages):
> - Streaming image data to the frontend is not possible, since we want the backend to be able to do dust/scratch removal. Of course there must be an option to retrieve raw RGBI data. So: no streaming. Sane_start() will read all the image data from the scanner into a buffer and do the post-processing to arrive at a complete image. Sane_read() will just return requested parts of the data.
Actually there are three cases, a) delivering raw data as for a preview, 
b) postprocessing of a whole image where you know the dimensions in 
advance, c) auto crop processing. c) has to be done completely in 
sane_start, reading for b) can be initiated from sane_read. For a) 
sane_start just starts the reader thread and returns. You suggest the b) 
case, and I think it is a good starting point. Addition of a) and c) are 
not so difficult.
> - A separate reader process is not necessary, since the whole image is available as soon as sane_start() finishes .
See above. It would be nice to see the preview appear in xsane though.
> - We'll stick to the indexed format when reading data from the scanner. No problem, since we already have to buffer internally.
> - Memory usage is an issue. Our backend should be able to handle an image of about 0.5 GB (7200 dpi, 16 bit depth, 4 colors), with perhaps the same amount of data for processing. Some resource checks before starting the scan might be welcome, but I don't know how to do that yet.
Agreed.
> I'm curious about the dust/scratch-removal. I understand the idea of finding appropriate thresholds to distinguish between image and artifacts, but I get lost in the image correction process ('dilating'). Do you have any literature on this process?
Definition: http://homepages.inf.ed.ac.uk/rbf/HIPR2/dilate.htm
Implementation: http://ostermiller.org/dilate_and_erode.html
When you read down the second URL to the Manhattan distances, you will 
see that I not only calculated a distance map but also built an index 
map which for each dirty pixel contains the linear index of the closest 
clean pixel. So replacing dirty pixels becomes trivial and fast.
>
> I'm also curious if you have contacted Emre Celebri already about using his algorithms.
Not yet, but I will.
>
> Finally: if you are willing to go through my code to find out where your scanner should be treated differently, I shall implement the above, and also try to add the post-processing functions. I was a little too enthusiastic in sending working code (September 6th), because it is not obvious how to get it to compile (sorry, Klaus). I'll be clearer next time, which I hope is before you return from your upcoming internetless time.
>
> Yours,
>
> Jan
I think that once we have a minimal backend which works for more than 
one of us we could start helping each other. I could fit in calibration, 
shading correction, dust removal, cropping as I did it already once.
Regards
Michael