Hi everyone

I need to normalize the brightness across pictures/match the luminance across pictures, but I'm really struggling with this.

I managed to download the contrast-normalize zipmap from here and managed to put in the plugins folder of Gimp (via pc --> %appdata%). However, Gimp is still not showing me the Normalize option under Colors -> Auto...

Does somebody know how I can fix this or is there any kind of different solution? I don't even know if it is possible to do such a thing in Gimp across images? One thing that I've also tried is to put the different images on top of each other as different layers of the same image, but I don't know how I would then normalize the brightness across all layers (if this would work, then I could do this and then copy-paste the layers back as different pictures).

Any suggestions are welcome!

Thank you in advance!

How to run BSL Shaders in Minecraft?

Hey, I resently started playing Minecraft and want to Install BSL Shaders. But don't know how to Install it. It will means alot, if anyone can help me................  
Thank you..............

Hi, is it possible to feed Iconify a 256x256 image and then have it resized to 227x179 ( whichever is the biggest 227 or 179 ) and then go on with the rest of the Iconify calculations ?

Currently what I do is create a 256x256px canvas, add the image as a new layer and then scale that layer to match 227 or 179 according to the image proportions. That is what works well with Windows 11.

Thanks.

So i wanted gimp to use my gpu (i've a gtx 1650) but i can't see the option of "open cl" in edit>preferences>system resources. Screenshot-

gimp version-2.10.28

Attached Files

Thumbnail(s)
   

I All,

Hoping you can help.

I have an image consisting of multiple shapes of a certain colour.  The shapes are separated by empty space. I was wondering if it is possible to gradient fill these shapes as a whole? so the gradient spreads accross all of the shapes?

Looking forward to your replies and some help (hopefully :S)

Thanks
Josh

Gradient removal and star reduction are some of the main issues when processing astrophotography images.  While other editors may have specialized features for this, Gimp does not.  Or perhaps it does but which ones and how to use them, are not entirely clear.  My first take on this was to write a plugin for gradient removal using Scilab but yesterday I found a quicker way just using native Gimp features that I want to share.

I should first mention why the standard gradient removal tool does not work well for this.  I have used it quite a bit but it is specialized for gradients that are parallel perpendicular to the selected gradient removal line, and this is limiting.  Many (most) gradients do not satisfy that model.  As a result one has to try multiple gradient removals in different directions, which has the side effect of creating new gradients.  Thus, it requires a lot of work with non-optimal results.  I wrote a Scilab script that can read a .jpg file, chops up the data in chunks based on the number of data points per polynomial parameter, then estimates a polynomial from Chebyshev base polynomials.  This works much better and gets me the right answer in one shot.  The gradient estimation is done on the non-black area so there is a useful selectivity.  Forging a plugin that calls Scilab, or rewriting this in Gimp's Python 2.7 without numpy, are both difficult to accomplish (allowing an external Anaconda release v 2 or 3 would help!)

Secondly, why can't we use Erode or Value propagation for resucing the stars?  I tried that in the most straightforward way without making a selection.  After one or two iterations the whole image shows rectangular-like blobs, which is more or less unacceptable.  I recently found that by reducing the selection area to just around the stars, the results are much better.  So how do we select those areas easily for the numerous stars?  A stright forward Threshold will not work due to gradients and nebulosity.

Wavelets to the rescue!  The reason for this is that the error layer along with perhaps base layers 6 and 7, are good approximations for the "low frequency" parts.  By "low frequency" I mean blurry blobs representing the over all luminosity that can be used to capture the gradient, and also allows for a better use of Threshold and Erode.

I illustrate the workflow with an image from an Astrocat51 on an AVX, 60 times 2 minute exposures.  The initial image is a bit rough, stacked and edited in DSS, size reduced in Paint but it serves the purpose:

   

First we use wavelets to estimate the gradient.  For this we deselect the nebulosity and fill it with black:

   

Decompose this image using wavelets (Filters->Enhance->Wavelet-decompose...) and select scale 7. Deselecting everything except the error we get:

   

This is already a pretty good gradient but the edge is a bit sharp. Apply a Gaussian blur of 100 pixels:

   

Now subtract it from the original (and save it as a "new layer from visible"):

   

That was pretty easy with a good result!

To be continued in the next post because of the attachment limit of 5 files.

Hi I'm having trouble with a image, wondering if anyone can help out. Basically my wife did one of those Simpson Pics, and rather then repaying 80$ im trying to get a suit onto my character. anyone have any tips?

Is there any plugin that uses AI or ML to make selecting objects easier for 2.10 ?

Does anyone have an update or answer to a fix with the dynamics "Tack Direction" not working on scripts or plugins? Thank you in advance!

It looks like that gimpchat.com is down. Can anybody reach one of the Administrator and just let them know? Or can other member from GIMPCHAT here concur?