What is Color Spaces on TVs?

Color Spaces – Color Spaces is a very strange concept for many people who are not familiar with technology and even for believers of televisions, digital cameras, laptops, printers, they are not sure how to understand this tool. Please. If curious, check out the next post right away!

Color Spaces – What are Color Spaces?

Color Spaces, Color Spaces, Color Spaces is a tool that recognizes the color capabilities of a particular device or image file. The Color Spaces of one device reproduced on another give you an easy idea of how much color space the device you need to analyze has light/dark areas, color saturation, and how many color intrusions .

Visualizing the color space, experts give examples, it is similar to how artists mix primary colors on a palette so that they can easily visualize the colors and shades they want to use to paint. Spaces is that blended palette, but the colors on this digital palette will be quantified, with more precise color organization.

In addition, the color space is not visible to the naked eye like an artist’s palette, it is only used as a background for techniques inside the device, the file. But you still need to learn how to visualize color spaces to determine the most suitable Color Spaces for a given job.

How to visualize color space

Color space is a 3-dimensional space object containing a full range of mixed colors, each direction in space represents an aspect of the color such as density, saturation or Hue (depending on the color space). different color spaces).

In the image above, there are 2 histograms representing the color surface outside 1 sample color space in 2 viewing angles. These 2 surfaces represent most of the reproducible colors in the color space. The colors inside Color Spaces are subtle combinations of colors located on the outer surface.

The chart above makes it easier to visualize the color space in a more qualitative way, but it is not useful for actual color management. Because one color space always needs to be compared with another color space.

How to compare color spaces

To better visualize one color space at a time, the color space is often converted from a 3D space to a 2D image. This is useful for everyone’s work because it helps you see the full color boundaries more quickly.

Unless otherwise specified, the usual 2D color space images used for comparison are cross-sectional images containing all colors at 50% luminance.

In this image, we compare 3 color spaces including sRGB, RGB wide color gamut and independent standard color space – Reference Space. Where sRGB and RGB wide color gamut are sometimes used for image editing.

From this 2D color space comparison table, you can see that every color in each color space falls within the black and white border, which is like a subset of several standard spaces.

Commenting on the color space in this diagram you can see that the RGB wide color space contains more red, purple, and green, and the sRGB color space contains more blue.

Types of color spaces

Color space has a variety of applications, popular color space related terms include:

Device-dependent color space : Represents colors in comparison to some standard color space. Provides you with valuable information about the subset of colors displayed through a particular device, monitor, or device, which can be captured with a digital camera or scanner.

Device-independent color space: Displays absolute colors, often used as a standard color space, used as a background for comparison with other devices. They are mostly invisible color spaces, rarely “being” intentionally interacted with when people edit images.

Active Space : Use in image editing programs and file formats to limit the range of colors to a standard palette. The two most commonly used active spaces in digital photography are Adobe RGB 1998 and sRGB IEC61966-2.1.

Devices or active spaces that can perceive more colors more clearly are considered to have a “wide color gamut”, conversely, they are considered a color space with a “narrow gamut”.

Reference Spaces – Reference Space

Nearly all current color management software uses the device-independent color space defined by the Commission International de l’éclairage (CIE) in 1931.

The standard color space describes all colors visible to the naked eye based on the average response from a group of people without vision problems (they are often referred to as standard colorimetric observers).

One thing you need to note is that most devices on the market only show part of the standard color space defined by CIE, which also means that all color space expressions on the device screen are only indicative of the color space. estimate, does not reach absolute accuracy .

CIE xyz, created based on a live histogram of signals from 3 types of color sensors in the human eye, is called the tristimulus function X, Y and Z. This color space represents the distribution of green colors. too much should limit the display of other colors, causing them to “cluster” in a small area.

CIE Lu’v’ was created to overcome the defect of CIE xyz by providing a color distribution that is approximately proportional to the perceived color difference. A color area twice as large as u’v’ represents twice as much color diversity, making it easy to visualize and compare color spaces.

CIE L*a*b* has color redistribution, extending over 2 axes fill color in square frame. Each axis in the L*a*b* color space represents a recognizable attribute of color such as a red-green, blue-yellow shift. These features make L*a*b* a useful standard color space for image editing, used in Adobe Photoshop, GIMP, etc.

If you read this far, you already have enough basic knowledge of color space. If you have any questions, need further discussion on this somewhat “dry” issue, please send a question to Tnhelearning.edu.vn for further discussion.

Source: www.cambridgeincolour.com/