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In this series we’ve been discussing the many factors that impact how we see color, and what we can do to ensure the color we see is accurate. Light, retinal fatigue and background effects can influence our perception of color. Today we’ll look at the limitations of the human eye and brain, and talk about how to detect these characteristics, especially for individuals responsible for evaluating and judging color. Are YOU color deficient? Read on to find out. (Spoiler alert: There’s a test at the...

Posted September 01, 2022 by X-Rite Color

Each color has its own appearance based on three key attributes – hue, chroma (saturation), and value (lightness). When you’re describing a color, it’s important to use all three of these attributes to accurately identify the color and distinguish it from others.  What is hue? Hue is defined as how most of us perceive and name a color – using the colors of the rainbow (red, orange, green, blue, etc.). Reference the color wheel, below, to see how colors shift from one...

Posted August 15, 2019 by X-Rite Color

Are you wasting too much time and money on incorrect color? Even if you use the best color measurement tools available, your color will still fail without quality control. Quality control (QC) means verifying the color you specify is the same color you manufacture, throughout production. Setting up a QC program can help you accurately communicate color with clients and suppliers, inspect raw materials before you begin working, and verify your color is correct before you ship.   Five Impor...

Posted June 27, 2019 by Tim Mouw

위도, 경도, 고도 등의 지리적 좌표와 같이 컬러 또한  L*a*b* 값을 사용하여, 정확한 색상 값을 지정하고 그것을 기반으로 커뮤니케이션을 할 수 있습니다. What’s the history of L*a*b*? 1940년대에, Richard Hunter박사는 3차원 공간 모델인 Lab을 개발하였습니다. 이 LAB 모델은 인식된 색상 차이를 동일한 공간영역으로 나타내기 위해 구성되었습니다. 31년후, CIE는 Hunter’s Lab의 업데이트 버전인 CIELab을 발표했습니다. CIELab을 올바르게 읽는 방법은 “see-lab” 또는 “L-star, a-star, b-star,” 이지만, 일부의 색상측정 장비나 어플리케이션은 간략화 하여 L,A,B 또는 Lab이라고 표기하기도 합니다. What does L*a*b* stand for?  어떠한 식으로 CIElab을 부르던, 더 중요한 것은 L*a...

Posted October 08, 2018 by Tim Mouw

To control color, you need to be able to compare very small differences, determine their impact, and understand how to address that impact. But words alone can’t give us enough information to precisely describe colors, or the difference between them. In this three-part series we will look at the color science behind tolerancing – the color analysis that paved the way, the role of light, and the difference between a color space and a color model – so you can make ...

Posted February 21, 2018 by Tim Mouw

Consistent color is a journey. A few weeks ago I blogged about the most common pitfalls people run into when starting a color program… Wrong lighting Less-than-perfect color vision Inaccurate physical standards Inconsistent device color measurement …And introduced some inexpensive color tools to help overcome them.   But the journey doesn’t stop there. Even if you’ve been successfully managing color for years, advances in inks, dyes, and substrates are introducing new challen...

Posted March 13, 2017 by Shoshana Burgett

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