Futura Photo is a pre-process software for photographer. It helps us during the very first steps, before starting to add metadata, tags and before processing the images themselves.
Basically, it does two main things:
- It identifies “poor” images which have low if any value (badly exposed, not well focused, duplicates of other images, …)
- It identifies time lapses images, panorama members and move them to a dedicated directory to help the photographer processing them in further steps.
Panorama: members of panorama are detected and move to a single directory where the photographer will know that every image is part of a panorama.
Indeed, travel photography can be a mix of panorama members, great images and wrong ones. The trick is not to mix a panorama member with a wrongly shot image. The benefits are threefolds:
- Faster to detect panorama members
- Can identify some panorama members whereas it was not even intended by the photographer
- Avoid deletion of panorama members identify as a wrongly shot image
Time Lapse: members of a time lapse are detected and moved to a dedicated folder, unique to each time lapse. This is streamlining the work of the photographer.
Videos: frequently, a videophotographer will perform some short tests for whatever reasons and does not want to keep these short videos. The rule enables the detection and deletion of any short-duration video. The other videos will be moved to a dedicated directory.
Over or under exposed image: RAW images or JPG can be tolerant but there are limits.
Some photographer may want to a later stage process on purpose low or high key images. But when it is a mistake, when the exposure is wrongly done, we have to admit this is a badly exposed image and we should just discard it.
Burnt images: overclipped white image on a large part are similarly a mistake.
It is non only unpleasant and useless, it is just good habit to avoid such a wrong exposure. Most of the time, the image just just be discarded.
Fuzzy photos (out of focus or motion blur): whereas it is an out of focus image or a motion blur image, unless it is done specifically on purpose, the photographer can do a better job most of the time.
Too little acutance is almost all the time synonym of an image to discard when it is above an acceptable level.
Duplicates: this is complicate topic !
The automation of duplicate finding and duplicated eradication looks more sensible for images without faces, mostly because emotion is difficult for a computer to modelize. Even AI algorithm won’t be out of many flows. The approach can be fine tuned but this kind of rules frequently generates too many false positive.
Therefore, the rule should be applied at images without faces, detect those which are similar and propose to archive/delete those which have less acutance, or some default in their exposure. Again, the idea is not to find the best image, it is more to cull faster the series with duplicate images.
All these images will be for most of them detected and either archived or deleted.