Showfoto/Curves Adjust/it

Guida fotografica KDE 1-2: Regolare le curve

Unai Garro (uga) - estate 2008

Note

L'immagine originale utilizzata in questa guida può essere trovata qui.

This is the second part of tutorials aimed at showing how to use KDE's photography tools (namely ShowFoto and/or Krita), to process, edit and fix your photographs. The first part of the tutorials showed how to interpret a histogram, and how to use the levels tool. This tutorial will show you how to use a more advanced tool, called the Curves Adjust tool. It's much more powerful than the levels tool but requires more patience and practise to get good results.

Dunque iniziamo. Questa volta abbiamo questa foto gentilmente donata per la guida da Jos van den Oever, dalle sue foto dell'akademy 2008.

Di nuovo il problema in questa foto è che ci sono parti dell'immagine che sono molto scure. Le due persone sono chiare nella foto, ma lo sfondo è così scuro che non possiamo in effetti vedere i dettagli del pub. Vediamo cosa succede se proviamo ad utilizzare lo strumento livelli come abbiamo imparato nella prima guida:

As you can see, some parts of the image get blown if we try using the levels tool. What does that mean? It means that we have parts of the image in the right hand of the histogram that have been all converted to white. That's because, unlike the previous tutorial, this image is not concentrated on the left part of the histogram. It covers the whole of it. And when clipping the histogram with the input sliders, we are "eating" part of the information.

Why does this happen? Because the photo scenario had a very High Dynamic Range. i.e. it had objects from very dark (background) to very bright (illuminated by flash).

In this sort of images, if we try moving the input sliders of the levels tool, we will delete part of the photo's gray level information, losing details, and the result isn't nice.

So what to do now? We can use the Curves Tool from the menu Colors -> Curves Adjust...:

Selecting this option will show a new popup with a dialog that may look similar to the levels tool. You can see the resulting histogram on top, and the input histogram on the bottom, just like in the levels tool:

The difference is in the way the control works. In this tool, the input histogram has a diagonal line in it. Clicking on it with the left button of the mouse, adds control points. You can move those control points up or down. The result, as shown in the picture above, is that the gray levels from the horizontal axis are converted into the gray levels in the vertical axis.

Moving the control points up, makes that part of the image brighter. Moving them down, makes that part of the image darker.

In this case, I wanted to make the darkest parts of the image brighter, so I added a control point on the left part of the histogram, and moved the point upwards. As the rest of the image was also getting a bit too bright, I added a second control point to avoid it.

So, lets press OK and see what we get of it:

We have managed to make the shadows brighter, and now the pub is more visible, but the image is now a bit washed out. As if it were too bright all over the place. Can we do something? Sure, lets try the levels adjustment again:

Now that the shadows were adjusted using the curves, and the colors are more uniform, we can follow the method shown in the first tutorial and adjust the levels of the photo, as shown above. The histogram's main data was a bit displaced to the left, and adjusting levels, I made it cover the whole range again.

Lets see the result - Ah, now this is much better. The pub background is much more visible and the two persons are not blown:

I think that's already acceptable, but if we are picky, the two people are a bit washed out due to the flash light. So, even if that goes out of the scope of this tutorial (it'll be covered in the following tutorials), lets adjust a bit the saturation and contrast in the image for a better result:

Now this image looks much nicer than the original, yes. I hope you liked this tutorial and will see you in the next one!