source images from DeviantArt

I am not an artist, so I am probably missing the significance of altering the images in that manner. Although very nice images, I would prefer to see them in the natural state. I'm sure those that are artists would disagree.

a bit "crazy" transformation (you may call it artist's freedom.....)

from Gimpchat pictures...

to add to my previous answer to Pat: I like "brightness, contrast and colour distortions" in images, also in people images; I do not like "shape distortions", for instance: I do not like Picasso who is considered a big by the majority of art viewers.

Dinasset: I like your pointillistic images from the Gimp Chat pictures. DSC_0081 especially. I don't like Picasso either. Hubby and I got into a discussion about art one night and we looked up a lot of Picasso's art and information about him. I guess I don't see what other people that like him see.

I love them! "Artistic License" works for me!

"Fire_and_whispers_by_pure_insomnia-d5kjcyx (pointillistic).jpg" and "tumblr_luoequpmFi1qd9qa2o1_500 (pointillistic).jpg" are my favorite people pix and "DSC_0081 (pointillistic).jpg" is my favorite landscape. They are all beautiful!!

Like the poster blends, Diego.

When you let us try?
When he has nothing interesting to say - excuse me - intrusive the question: is where this plugin?

It seems there is some interest on this "bit crazy" effect, thus I post here the filter.
It's my third attempt to work on a pointillistic effect.
Some of the outcomes you've seen have requested intervention on the result (on layers, modes..)
When experimenting do the same whenever you don't like as it comes out.

Core piece of the filter is the creation of a new layer with quasi-random color pixels.
Critics and suggestions are very well accepted.

if you do not have the Invert-YUV script, here it is

some info on the pointillism filter

'''

Plug-in Title : "PointillismEffect3"
Gimp Menu : "<Image>/Diego/Artistic"
Release : 1.0 (initial)
Author : Diego Nassetti (dinasset@gimpchat.com)
Licence : GNU General Public License

System Environment used in development
--------------------------------------
Platform : Windows 10 64-bits
Graphic Apps : Gimp 2.8.16
Language : python as included in Gimp

Extrn Filters : (Gimp) LumaInvert (script-fu-invert-YUV.scm by "Stratadrake")
(Gimp) Gimpressionist
(G'MIC) none

Summary
-------
Filter to implement the creation on a NEW IMAGE (dimension is a user option)
starting from an RGB* input image/drawable
where a duplicated layer is transformed replacing each pixel with an almost random colored pixel
having more or less the same average luminosity of the original desaturated (average).
Filter has been inspired by Gimp-chat thread "interesting but not what i'd expected"
by trandoductin.


Details
-------
Flow implemented to get the final result:

1. calculate the new image width and height scale for the output (user choice for dimensions)
2. save and set-up context values
3. create the new image by appropriately scaling the input image dimensions
4. create the BG layer for the new image by copying the input layer, scaled
5. add alpha to the layer is not present
6. create a new layer (dup of the BG) for random pixels
7. transform this layer using an ancillary function usinmg tiles to be fast
8. create a copy and apply a Gimpressionist effect (user choice)
9. raise BG to the top (grain-merge)
10. again (softlight)
11. dup but invert YUV
12. visible layer on top, desaturate, screen
13. flatten the image is requested

'''

Thanks Dinasset.

Preset of Gimpressionist ( "Paint1", "Paint2", "FeathersSmall" )?

Oh, yes, I forgot those, sorry
Here they are

Just out of curiosity - action settings (however large gif animation is not good for presentations - for a small number of colors )

As pointed out since the beginning, I'm experimenting on this filter.
Hence, today, I created a new release (with added/modified code), which I suffixed with the letter b.
This allow those interested in to be able to test/compare both releases and evaluate, criticize (and provide suggestions, I hope).
At the end of the "story", there will be only one "official" release.
Here the new release.

some comparisons of outcomes

before:


after: