With old photo colors deteriorate with different speed. Blue gets typically lost first. So I think one way is to get the individual color channels sort of on a similar level
Please advise the steps. Thanks
Regards
With old photo colors deteriorate with different speed. Blue gets typically lost first. So I think one way is to get the individual color channels sort of on a similar level
Please advise the steps. Thanks
Regards
I used only one one module, rgb curves, and only the red channel. You can also lift blue a little.
I am sure other people have more complex and better ways.
Used GāMIC plugin for GIMP, I played with Auto Balance and Color Balance in the Colors section. Preffered the Auto Balance results Then adjusted the contrast and lowered the brightness some. Check your distro if using linux their repositories may have GāMIC available as a GIMP plugin. If not check here;
I sometimes find with GIMP auto levels that while the result is great for faded colours the contrast may be too high. In that case I increase the black output levels and possibly decrease the white output levels to reduce the harsh contrast. I have attached an example of auto input levels in GIMP working on one of my faded images. Obviously would need further tweaks but it gives the idea of how successful it can be for restoring faded colors with a simple click.
BTW, I have also worked with Darktables negadoctor which is a very handy tool if scanning or photographing negatives.

Used GāMIC plugin for GIMP, I played with Auto Balance and Color Balance in the Colors section. Preffered the Auto Balance results Then adjusted the contrast and lowered the brightness some. Check your distro if using linux their repositories may have GāMIC available as a GIMP plugin. If not check here;
Thanks for your advice.
I canāt find āWhite Balanceā under Colors. Only āAuto Balanceā is there. Pls refer to upload screenshot
Regards
My advise would be to let this photo faded as it is. In my opinion the picture doesnāt improve after edit. Maybe restoration is possible with artificial recolorisation. But then you have to know the colors of the wall, the shirt, the floor, the armchair and the skin.
Thanks for your advice.
Whether you meant Negadoctor, the plguin of Darktable ?
How to Convert Film Negatives With Free Program - Darktable Negadoctor Tutorial 2020
I retain the film negatives of all my hard-copy photos. They are in good condition and well packed. If I canāt restore the faded photos tinted heavily with yellowish color Iāll scan their film negatives. I have done some tests before, scanning the film negatives on Samsung Galaxy S22 Ultra Mobile phone, using Samsung Galaxy Tablet as lightbox. Afterwards converted the digital negatives to digital positive on GIMP with āInvertā. It did a marvelous job.
I have >1,000 hard-copy photos to be converted to digital positive photos. It is not an easy job for me. Besides I have to adding description on all digital positive photos, such as date and place of their captures, name of persons on the photos etc.
Iām not going to print the digital positive photos but will create slideshows on them, adding background musics, subtitles, narrations, etc. I have long experience in creating slideshows running OpenShort, ShortCut etc.
On Internet search I found following YouTube video;
Darktable Newb :: Part 1 :: Getting Started :: Concepts and Basics
darktable NEWB :: Part 2 :: First Edits
darktable NEWB :: Part 3 :: More Modules, Masking and Denoise
They will be helpful to me because Darktable is completely new to me
Regards
You will find a white/black levels adjustment in the colors menus of GIMP. Iāve got some decent results with just playing with all the plugins and options available in GIMP. There will be limits of the restoration that can be done, camera and optics, and the film of the era, plus the aging that has occurred to the photos.
My try using rdarktable. On an impulse i took a different route, and inverted it in gimp and then treated it in rdarktable using negadoctor. Donāt ask me where ths idea came from
but Iām quite pleased with result. Still a bit too green maybe in the skin? Should the shirt be blue, or? Hard to know what the colors actually where originally.
Nice pratice though, thanks, would have been fun to try it on a full-res scan.

a sligthly different interpretation:

third and final version, Iāll stop now 
for some reason I didnāt notice the dark shadows, so I lifted those a bitā¦

Hi AdmFubar,
This is solely for practice in order to learn.
On GIMP
Colors ā Auto ā Equalize
then
Again on GIMP
Colors ā Brightness - Contrast
Now the red wall removed but the image is not so sharp. Pls refer to image upload
Regards

G`MIC => Color=> Auto Balance + GIMP LAB
Negadoctor is a module in DT and not a plugin. I have an Epson V850 scanner and the software is crap for negatives. It clips the highlights really badly. So I tend to scan the negatives as a positive which gives the orange inverted color output as a 16 bit Tiff file. I then use negadoctor to invert it.
I then use GIMP for most spot and scratch removal as it is much quicker than DT for extensive restoration tasks.
GIMP
The wall is in white color according to my recollection ā¦

This photograph inspired me to create my GIMP plug-in Colour Cast Reduction1ā¦
It was based on an idea proposed by Krikor and coded by Tim Tran in the GimpLearn forum.
As noted by Terry and satimis, the GIMP auto-levels or auto-equalize can be helpful but produce excessive contrast. GIMP Auto/Stretch Contrast can be very useful when the image is excessively dark, light, or lacks contrast. Unfortunately it is not available in Gimp Python, so I had to devise a way of achieving a similar result.
The plug-in creates a contrast layer with an opacity of 10% to compensate for the common loss of contrast in faded photographs, but a better adjustment can be made with the base layer.
col-cast-reduction1.zip (3.1 KB)
As with any automatic means of colour-cast reduction, it uses the assumption that the image should average to neutral. Try it on a sunset or a candlelit scene and the results are likely to be very peculiar!
The result with this image with no further adjustment.
