Editor’s NOTE: Photofocus is proud to welcome master photo educator Lee Varis to our roster of authors!
Subtle Adjustments Make all the Difference
Every photo needs some amount of adjustment to enhance its presentation, even really good photos can benefit with the right adjustment. However, if you ask 5 different people what needs to be done, you’ll get 5 different answers, or worse, no answers, simply, “it looks fine!” Things become really difficult when there is no obvious problem. There are simple things to check for, like making sure there is a good black point (and possibly white point) in the image to insure that there is maximum tonal range. Other choices are purely personal, according to taste, or creative choice, but careful consideration can often reveal a correction strategy that can bring out the best in any given image.
I think most photographers have a hard time stepping back from the moment of capture in order to really evaluate the image as it would present itself to a viewer who is not intimately connected to the experience of taking the photo. We remember how good our subject looked in our minds eye, and this alters our perception of the collection of pixels that is the result of the picture making process. The truth is that the photo we take elicits a response that is dependent on our memory of the experience – when you take that memory away, as it would be for anybody who was not there at the moment of capture, the response is only dependent on the photo. This is one reason it is so hard for us to edit our own work! Its almost impossible to be objective enough.
I have found that careful attention to basic color correction principles can help re-calibrate our subjective evaluation of an image to a point where effective adjustment choices can be made. I also find it extremely helpful to get as much practice as possible working on other people’s images, as this helps us become more objective about our own work! I have the good personal fortune of benefiting from the work of my fiancé, the amazing Bobbi Lane, who happens to be a really extraordinary portrait photographer! I will examine my decision making process in a recent color correction of one of her images in the remainder of this post.
Here is the image as it was given to me, already processed into a Tiff file from the original dng:
Not bad right? But… there is just something about the color, maybe its just a little too colorful? The skin is approaching what I call the Pumpkin Tone – just a bit too orange! A look at the info panel will confirm this. I move the cursor into the image and hover over some points on the face: forehead, chin, and onto the shoulder and chest. The numbers show just a little too much saturation…
The screenshot above shows a reading from the skin color at the chin – there are two columns of numbers here because I had already added a Curves layer when I did the screenshot, normally there is only one for RGB and CMYK. The two columns are identical at the moment because no adjustment is being made, this allows you to compare adjusted with non-adjusted numbers. Even though the image is in RGB, Photoshop allows for a secondary set of colors in the info panel. By default, this extra read-out is in CMYK (this can be changed in the panel options drop down at the upper right corner of the info panel.) What I’m noticing here is the ratio of C to M to Y – the basic skin color is good, but… ideally, with a fair skinned blond, I’d like to see the magenta value just a little closer to the yellow value, and the cyan should not be much lower than 1/4 of the average between magenta and yellow. In the numbers above, that average would be 53 – cyan at 10 is just a little low, not horribly low, but that combined with the slightly elevated yellow (relative to the magenta) confirms my suspicion that the skin is just too colorful. In fact, this skin color is very reminiscent of an artificial tan, spray-on type of color that is sometimes used by body builders in competitions!
Another thing I like to do, when analyzing any image, is look at the individual channels of the RGB image. This image shows a very pale red channel with skin values approaching white!
Now, this image is in Adobe RGB because I haven’t been able to convince Bobbi that sRGB is perfectly adequate for portrait photography, and this affects how pale the red channel is. In Adobe RGB there is a bit darker tone in reds than there would be in sRGB so you have to keep that in mind when judging colors. Adobe RGB can contain much more saturated reds than can be displayed on just about any monitor – even the expensive, so-called, Adobe RGB monitors can only display 98 percent of Adobe RGB and that 2 percent is missing in the reds! Anyway, I digress… I usually check for clipped-to-white values to see if there is a serious problem. This image is easily adjustable with a Curve because there is no clipping in the red channel. However, I do feel that a Curve adjustment might be a bit easier if the red channel were just a little darker. I know that I’m going to raise the blue channel value in the skin to counteract the overly yellow tone, and this will lighten the skin overall. I’d like to keep the value of the skin close to the current, tan look, so darkening the red would help. I could use the same Curve to achieve this darkening, but I’m going to use another adjustment to achieve the same result in an easier way!
The green channel has a much darker skin value, so I will blend a bit of that darker tone into the red channel using a Channel Mixer Adjustment layer…
By replacing 30% of the red channel with the darker tone of the green channel, I get a darker skin value in the red channel…
This technique can work wonders to repair a clipped-to-white red channel but it can also make the following Curves adjustment easier by eliminating the extra wiggle in the red channel curve.
Here is what the image looks like now…
Now this actually looks worse over all – just remember that we’re not done yet! If you are particularly observant, you will have noticed that there has been some retouching applied here—look at the first image again—I cloned over a dark area in the background and smoothed out a rough area on her chest! It is almost always best to do any retouching in layers underneath any color adjustments. If you change the color later, any retouching done above the color adjustment layers would have to be re-done – save yourself the extra work and keep the pixel-editing under the adjustment layers! At the moment, the color of the hair has become overlay green by the Channel Mixer adjustment, so I’ll take note of that, and plan on fixing it later.
Now for the Curve adjustment…
Raising the blue value has given the skin an appropriately pinker hue by reducing the yellow ratio. I always keep an eye on the Info panel while I’m adjusting the color to confirm that I’m doing the right thing…
Here the Info Panel numbers show an ideal ratio for the CMY values of the skin color. Cyan is between 1/4 and 1/3 of the average value between yellow and magenta – yellow is just about 10% higher than magenta, good for a fair skinned blond. The blond hair has a very slight green cast however – this is something to look out for with blond hair! Its very easy for blond hair to take on a green cast especially in shadow areas of the hair.
Now this is pretty subtle but easily fixed with a Hue/Saturation adjustment…
I give more complete instructions for using the Hue/Saturation adjustment in this blog post about shifting the red out of skin – Take the Red Out
Compare the final corrected image to the original…
Most people wouldn’t have thought that the original color was particularly bad, and most photographers wouldn’t have bothered to correct it in any way! But it pays to apply a little numerical analysis to any image, just to see if there is anything that could stand some improvement. Sometimes I am surprised to find problems when my first impression was good, but one can almost always improve on a default rendering, and you never know how good an image can look unless you try! The take away here is the Channel Mixer adjustment – try correcting the original image with a single Curve – its possible to improve things, but it requires a more complex multi-point shape in the red channel curve because the point has to be placed very high up, near the upper end point, and its hard to move that point without damaging other parts of the image! The Channel Mixer fixes the problem of red-saturation easily and makes the final curve very simple! You can grab a copy of that first image with a right-click, just remember that everything on this site is copyrighted & this particular image is ©2014 by Bobbi Lane!
Have fun with your pixel wrangling!
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