Hey #believeinfilm friends,
How large are your raw film scans, per file?
#filmphotography #analogphotography #photography
Hey #believeinfilm friends,
How large are your raw film scans, per file?
#filmphotography #analogphotography #photography
@analog_cafe The 50MP raws from my Canon 5Ds are usually around 50MB.
@analog_cafe I hope "raw" stands for "unedited", not specifically the RAW format.
@analog_cafe They come in somewhere between 50MB and 100MB. The batch I'm working on now are around 75MB.
@analog_cafe I replied 100MB, though my ORF's come out at about 65MB
@tmcfarlane that's perfect, thank you for clarifying!
@artbysarahsammis Thank you for extra info!
@analog_cafe I am scanning 35mm slides although I do have a small collection of 120mm slides too. Feel free to ask me questions.
@artbysarahsammis thank you! How large are your scan batches right now and what software do you use to invert the negatives?
@analog_cafe I have a Plustek OpticFilm 8200i slide scanner which has a carriage that can hold four slides. I feed them through manually. Each slide takes about a minute to scan... first a color scan and then an IR scan. The software I use to run the scanner is SilverFast 8.
Afterwards I do color correction in Pixelmator and finally geo tagging, keywords and description in Photos before I upload them to Flickr.
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@analog_cafe I'm currently working through a box of approximately 2000 slides I purchased from "Americana Images" on eBay. I have about 2/3 of the box scanned and about half of the box uploaded to Flickr.
You can see them here:
https://www.flickr.com/photos/pussreboots/albums/72177720313030385
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@artbysarahsammis Thank you. Would you be interested in trying software that would automatically correct black and white points in your images in batches? I can show you an example of what I mean with one of your images if you're ok with that
@nanoelquant youp, just whatever you get from your scanner or scanning rig. Can be TIFF, can be PNG, whatever :)
@analog_cafe @nanoelquant I answered 100 MB specifically for Vuescan Raw scans in 16-bit TIFF or DNG. I only use RAW for slide film or conversion experiments. Most scans (99.9%) are straight to JPEG, around 5 MB.
@analog_cafe @nanoelquant I'm worried that the ambiguity in your question, indicated by your reply "TIFF or PNG" will taint the reliability of your results!
@carusb @analog_cafe @nanoelquant I agree. The NEF files I import for conversion are around 50MB. The TIF files I export out of Classic after conversion with NLP are over 100MB. Lightroom is my system of record, so the TIFs are imported and stored there. Not sure which way to answer the poll.
@carusb @nanoelquant yeah it'll be approximate, that's for sure! I'm generally interested in how large those files get for most people (thus, the largest file in the process). I'm building a film conversion tool and trying to size the resources.
@carusb @analog_cafe @nanoelquant A good clarification would be to specify whether the files are unconverted or converted.
@carusb @analog_cafe @nanoelquant The converted file size also varies widely based on the film format. My 35mm and 6x9 TIFFs are the largest at over 200MB because they use the entire D800 sensor. The 6x4.5 TIFFs are the smallest at around 100MB. The 6x6 TIFFs are ~130MB.
@tomnorthfilm @carusb @nanoelquant yes, you're right, I should've clarified which files! I'm building a film inversion tool, so I'm trying to estimate the amount of resources needed to process an average file.
@analog_cafe @carusb @nanoelquant The average size of a NEF on my D800 is 45-50MB. That is the file size that NLP has to deal with.
@analog_cafe @tomnorthfilm @nanoelquant If I wanted to do a film conversion from a negative scanned at 3600 samples per inch (one of the native resolutions of my Plustek 7500i... 1800 spi is not fine enough), I end up with a 100 MB 16-bit TIFF or DNG Vuescan RAW file. I'd guess the Silverfast AI RAW scans would be similar. So 3600x3600x1.5 =? 19 Mpixels x3 colours x2 bytes ~ 116 MB...
@carusb @tomnorthfilm @nanoelquant that works! thank you
@tomnorthfilm @carusb @nanoelquant thank you!