Since many years darktable offers a versatile tool for manual perspective correction in the crop & rotate module [1]. Although the principle is simple and straightforward, there are cases where it can prove difficult to get a convincing correction, especially if no distinct vertical or horizontal features can be spotted in the image. To overcome these limitations a new “perspective correction” module has just been added that is able to automatically correct for converging lines. The underlying mechanism is inspired by the program ShiftN developed by Marcus Hebel and published under the GPL [2].

If you overexpose a photo with your digital camera you are in trouble. That’s what most photography related textbooks tell you – and it’s true. So you better pay close attention to your camera’s metering while shooting. However, what to do when the “bad thing” happened and you got this one non-repeatable shot, which is so absolutely brilliant, but unfortunately has some ugly signs of overexposure?

In this blog article I’d like to summarize how darktable can help you to repair overexposed images as much as possible. I’ll cover modules which have been part of darktable for a long time but also touch the brand new module “color reconstruction”.

I’d like to give a few words on a new module named “color mapping” that is currently under development in our master branch. This module is a rework and enhancement of the older “color transfer” module. That older module had several issues which made a migration impossible. So we leave the old one behind as deprecated (old history stack still work as before) and for all new history stacks “color mapping” should be used instead.

Conditional blending, also known as “blend if”, is a feature which is currently under development in our master branch. A general description of the idea together with some examples can be found here. In short, conditional blending allows you to limit the effect of a module to certain pixels of an image, determined by their color coordinates. For modules in Lab space, you can restrict the effect of a module depending on the pixel’s L, a, and b value. For modules in RGB space, you can restrict the effect of a module depending on color channels Red, Green, and Blue plus a Gray value.

or “How to drive away the evil skull”

At all times main memory was one of the most limited resources in computing. Although from 20 years to now the memory setup of a typical desktop PC has increased by a factor of several thousands (from less than a megabyte to a few gigabytes), we still need to consider how to efficiently handle that resource.

The reason of course lies in the increasing demands of modern applications. Today it might be darktable which is the single most challenging software to hit the boundaries of your system.

or “If one slider is not enough”

Diligent readers of our small blog series are already aware of the blending feature that darktable offers as part of many modules. Instead of just handing over their result to the subsequent module in pixelpipe, “blending modules” take a moment to reconsider. Based on the blend setting they will take their original output together with their input and do a re-processing. As an example refer to here, where we took blend mode “overlay” with module “lowpass” to do shadow recovery.

Many readers will have already heard about GPU processing and the fact that darktable can make use of OpenCL to improve performance. As we still lack a detailed documentation of that topic, please find here a few explanations and howtos.

The Background

Processing high resolution images belongs to the more demanding tasks in modern computing. Both, in terms of memory requirements and in terms of CPU power, getting the best out of a typical 15, 20 or 25 Megapixel image can quickly bring your computer to its limits.

One of the remaining shortcomings of digital cameras is their rather low dynamic range in comparison to analog – especially black-and-white – film. Scenes with strong differences between highlights and shadows are very difficult to capture. Even if they are exposed properly with no blown-out highlights they will too often only give acceptable results after extensive post-processing.

Fortunately, darktable is progressing with a high pace. Some days ago I wrote an article on how to recover shadows with a technique using lowpass filter plus blend mode (" Using lowpass filter to recover shadows "). In between a new, even better module called “shadows and highlights” was integrated into darktable, that obsoletes this technique.

Outdoor photographers are often confronted with unfavorable light conditions. This often entails too high contrast. Two of the most frequent consequences are blown highlights and deep shadows in your digital images. Overexposed highlights are challenging to repair in digital post post-processing, still darktable offers a decent set of valuable tools as long as you take your pictures in raw (see Jo’s blog post “ why you want raw ”). Fortunately, it’s much easier to take care of the deep shadows.

or “How to bring the jungle back”

Since its early beginnings darktable has a tone curve module that is able to alter the gray level distribution of an image. Recently we did an enhancement: tone curve is now able to control the full Lab color space with separate curves for the L, a and b channel. People who are used to curve tools in RGB, at first might get puzzled over the results of these three curves; they show marked differences to the typical RGB curve. Especially a and b channels need to be dealt with in the right way; not doing so will give you strong off-colors. To spare you frustration here are some explanations and examples.