A researcher by trade, curious by nature. Writer, photographer, tech lover, crazy about cooking and eating (or maybe I'm just Italian).
We've All Been There
I have been there, you have been there, and anyone who's ever taken a picture has been there, but do you know why?
You fell victim to the mischievous "wrong white balancing."
Today I will teach you how to solve this problem once and for all!
Let's dig in.
How Digital Sensors Work
Our eyes are an engineering marvel.
Camera makers know it, and they somewhat tried to replicate the way in which they acquire images, inventing the digital sensor and a device that can interpret the information that comes from it, the image processor.
This part of the camera is devised to work like an artificial eye: it is able to sense (hence the name sensor) all of the different wavelengths that compose the visible light and process them into a color image (hence the name image processor).
Does it sound complex? Imagine this:
There is a group of people at the bar. Each one of these people is affected by a different type of color blindness:
- Al: Can only see blue
- John: Can only see red
- Jack: Can only see green
Behind them is Rob, who is completely blind; his role is to gather shape and color information from Al John and Jack and send it to a sketch artist, Philips, who is sitting at another table.
Are you imagining all of this? Good, now place an apple in front of Al John and Jack.
Here's what happens:
Al says, "I don't see anything here."
John says, "I see an apple."
Jack says, "I don't see anything here."
Rob elaborates the information and tells Philips, "Red apple."
Read More From Feltmagnet
Now, Philips knows what to do, and he draws a red apple.
Here's what happens with a lemon:
Al says, "I don't see anything here."
John says, "I see a lemon."
Jack says, "I see a lemon."
Rob tells Philips, "Yellow lemon."
So what am I talking about?
Al, John, and Jack are the camera sensor, while Rob and Philips are the image processor.
That's exactly what happens in your camera, and in part, in your retina.
The Difference Between Camera and Eye
You guessed it.
The main difference between them are Rob and Philips. Cameras have microchips, humans have a brain.
Our brains can understand the color of light on their own, but microchips cannot (or at least not always).
So if you have a white shirt and you stand in front of a traffic light, it doesn't matter if it's red or green, you will know your shirt is white.
Cameras are sort of sticklers for accuracy, and they will tell you that the shirt is green if the light is green and that the shirt is red if the light is red.
The eye-brain duo is all about what's real; the sensor-processor duo will just tell you how it looks!
How do you fix it then?
You have to teach your camera what white looks like because you can tell, but she can't.
Let's see how it's done, in a few different ways.
Know Your Lighting, and Tell Your Camera
- Are you shooting in daylight? What part of the day is it?
- Are you indoors, and you have a neon (fluorescent) lamp pointed at the scene?
- Are you using your camera's flash?
- Or is it one of those incandescent bulbs?
Prepare to have your mind blown:
All of these lights have different color dominants.
Daylight is almost white, with a touch of yellow, fluorescent lamps emit greenish light, incandescent bulbs shine orange, and flashes are between daylight and sunset in color.
If you know your lighting condition, you can tell your camera, and she will make the calculations to remove the color dominant from your picture!
Look for the white balance tool in your camera settings, and set the type of light you are shooting in (there normally are presets such as "daylight," "fluorescence," etc.).
If there are no presets but just a temperature slider, here's a table for you to know where to set it according to the lighting.
Remember, this is the absolute best way to white-balance, you can fix a slightly wrong setting in post-production, but it's difficult to rescue a blatantly wrong one, especially if you are not shooting in RAW format.
|White Point (Kelvin Degrees)||Light Source|
2400 to 2500
"Warm white" LED
5000 to 5500
Fix It in Post-Production
Whoops! I was indoors with an incandescent lamp and shot using a daylight setting!
That's how you get orange pictures.
How do you fix it now?
There are many ways. Every image-processing software has its own way of doing it. In general, you will open your image with your favorite program and look for either one of these settings:
- White balancing
- Color balancing
- Photo filters
Then you will proceed in one of these ways:
- White balancing tools usually ask you to select a point in your picture: you have to select a spot that you know it's white or, better yet, neutral light grey.
- Color balancing tools are a bit more painful. You have to: 1) identify your color dominant and 2) reduce its intensity. For example, if your picture is orange, you will reduce the yellow and the red until what you know to be white looks white.
- Photo filters are present in some programs; they make your picture "colder" or "warmer," so if your picture looks blue, apply a warm filter, and if it looks orange, apply a cold filter. You can usually choose the intensity of the filter to reach the desired white point. The main drawback of using this method is that you cannot fix color dominants other than blue and orange (e.g., the green of a neon light).
Here's a free online tool to balance your pictures if you don't have any editing software installed. It's not great though, try to get it right when you shoot.
Creative White Balance
Once you know the rules, you can break them!
Creative white balance is setting the wrong white temperature on purpose to make the picture look colder or warmer.
For example, if you are portraying a smiling child, having a slightly warm white balance can really help communicate a message of joy and happiness.
On the other hand, if you want to convey dullness, sorrow, or negative feelings in general, a colder white balance can help you deliver the message more directly.
Now You Know!
I really hope this tutorial will help you get perfect pictures every time, and as always, get creative and don't be afraid, even with something as petty as white balance . . .
"Memento audere semper"
Remember to dare, always.
More Photography Tips
- 10 Tips and Techniques for Becoming a Better Photographer
It's easy to become a better photographer. Follow my 10 easy tips and techniques and bring your photography skills to the next level!
© 2017 Marco Arista
Angelica Perduta on September 12, 2017:
I prefer to set my camera to "raw" image mode so that it just stores the unprocessed sensor data when I am out on site. Then I can choose the color balance at my leisure when I get my pictures home.