If you are a developer (like me), have you ever wondered how to determine if the color set you are using on your web page or in your software is a good choice? After all, there are lots of things to consider. Color makes what you present “eye catching”, and can boost the enthusiasm of your target audience. It can attract attention to an important area, or help distinguish regions of information.
On the downside, the wrong color choices can make your information displeasing, hard to read, and actually discourage readers. Also, colors which may look really good, can be near impossible to distinguish by individuals with varying degrees of colorblindness.
So, how do we make sure the colors we have chosen do not do the exact opposite of what we want?
The answer, at least for text, is some math. There are 2 methods to test a color combination, the first being the older AERT algorithms proposed by W3C, and the second being the Luminosity Contrast ...[more]
If you are a developer (like me), have you ever wondered how to determine if the color set you are using on your web page or in your software is a good choice? After all, there are lots of things to consider. Color makes what you present “eye catching”, and can boost the enthusiasm of your target audience. It can attract attention to an important area, or help distinguish regions of information.
On the downside, the wrong color choices can make your information displeasing, hard to read, and actually discourage readers. Also, colors which may look really good, can be near impossible to distinguish by individuals with varying degrees of colorblindness.
So, how do we make sure the colors we have chosen do not do the exact opposite of what we want?
The answer, at least for text, is some math. There are 2 methods to test a color combination, the first being the older AERT algorithms proposed by W3C, and the second being the Luminosity Contrast ...[more]