#885296 - Vivid Violet Hex Color Code
#885296 (Vivid Violet) - RGB 136, 82, 150 Color Information
- #885296 (Vivid Violet) - RGB 136, 82, 150 Color Information
- #885296 Conversion Table
- Percentages of Color #885296
- Color spaces of #885296 Vivid Violet - RGB(136, 82, 150)
- #885296 Color Accessibility Scores (Vivid Violet Contrast Checker)
- Vivid Violet ↔ #885296 Color Blindness Simulator
- #885296 Color Combinations - Color Schemes with 885296
- Shades and Tints of #885296 Color Variations
- Alternatives colours to Vivid Violet (#885296)
- #885296 Color Codes for CSS3/HTML5 and Icon Previews
Percentages of Color #885296
Color spaces of #885296 Vivid Violet - RGB(136, 82, 150)
HSV (or HSB) | 288°, 45°, 59° |
HSL | 288°, 29°, 45° |
Web Safe | #996699 |
XYZ | 18.676, 13.471, 30.470 |
CIE-Lab | 43.464, 34.369, -28.293 |
xyY | 0.298, 0.215, 13.471 |
Decimal | 8934038 |
#885296 Color Accessibility Scores (Vivid Violet Contrast Checker)
On dark background [POOR]
On light background [GOOD]
As background color [GOOD]
Vivid Violet ↔ #885296 Color Blindness Simulator
#885296 Color Combinations - Color Schemes with 885296
Shades and Tints of #885296 Color Variations
#885296 Shade Color Variations (When you combine pure black with this color, #885296, darker shades are produced.)
#885296 Color Codes for CSS3/HTML5 and Icon Previews
#885296 in Programming
HTML5, CSS3 | #885296 |
Java | new Color(136, 82, 150); |
.NET | Color.FromArgb(255, 136, 82, 150); |
Swift | UIColor(red:136, green:82, blue:150, alpha:1.00000) |
Objective-C | [UIColor colorWithRed:136 green:82 blue:150 alpha:1.00000]; |
OpenGL | glColor3f(136f, 82f, 150f); |
Python | Color('#885296') |
#885296 - RGB(136, 82, 150) - Vivid Violet Color FAQ
Hex color code for Vivid Violet color is #885296. RGB color code for vivid violet color is rgb(136, 82, 150).
The RGB value corresponding to the hexadecimal color code #885296 is rgb(136, 82, 150). These values represent the intensities of the red, green, and blue components of the color, respectively. Here, '136' indicates the intensity of the red component, '82' represents the green component's intensity, and '150' denotes the blue component's intensity. Combined in these specific proportions, these three color components create the color represented by #885296.
The RGB percentage composition for the hexadecimal color code #885296 is detailed as follows: 53.3% Red, 32.2% Green, and 58.8% Blue. This breakdown indicates the relative contribution of each primary color in the RGB color model to achieve this specific shade. The value 53.3% for Red signifies a dominant red component, contributing significantly to the overall color. The Green and Blue components are comparatively lower, with 32.2% and 58.8% respectively, playing a smaller role in the composition of this particular hue. Together, these percentages of Red, Green, and Blue mix to form the distinct color represented by #885296.
The RGB color 136, 82, 150 represents a dull and muted shade of Blue. The websafe version of this color is hex 996699. This color might be commonly referred to as a shade similar to Vivid Violet.
In the CMYK (Cyan, Magenta, Yellow, Black) color model, the color represented by the hexadecimal code #885296 is composed of 9% Cyan, 45% Magenta, 0% Yellow, and 41% Black. In this CMYK breakdown, the Cyan component at 9% influences the coolness or green-blue aspects of the color, whereas the 45% of Magenta contributes to the red-purple qualities. The 0% of Yellow typically adds to the brightness and warmth, and the 41% of Black determines the depth and overall darkness of the shade. The resulting color can range from bright and vivid to deep and muted, depending on these CMYK values. The CMYK color model is crucial in color printing and graphic design, offering a practical way to mix these four ink colors to create a vast spectrum of hues.
In the HSL (Hue, Saturation, Lightness) color model, the color represented by the hexadecimal code #885296 has an HSL value of 288° (degrees) for Hue, 29% for Saturation, and 45% for Lightness. In this HSL representation, the Hue at 288° indicates the basic color tone, which is a shade of red in this case. The Saturation value of 29% describes the intensity or purity of this color, with a higher percentage indicating a more vivid and pure color. The Lightness value of 45% determines the brightness of the color, where a higher percentage represents a lighter shade. Together, these HSL values combine to create the distinctive shade of red that is both moderately vivid and fairly bright, as indicated by the specific values for this color. The HSL color model is particularly useful in digital arts and web design, as it allows for easy adjustments of color tones, saturation, and brightness levels.
Vivid Violet #885296 Similar Colors
Conversion rate optimization (CRO) is a critical aspect of e-commerce success. By optimizing your homepage, you can increase the chances that visitors will take the desired action, whether it be signing up for a newsletter, making a purchase, or down...
How Color Theory Enhances Visual Design ImpactColor theory plays a crucial role in graphic design, influencing the way we perceive and interpret visual information. Understanding the principles of color theory is essential for designers to create visually appealing and effective designs that com...
The Effect of Commercial Site Interface Colors on ConversionDifferent shades have a huge impact on conversion rates of websites. Read to discover how. Do colors affect the performance of a website? Well, it’s quite complicated. To some degree, color affects a site’s performance. But not directly. Color psycho...
How to Use CSS3 Gradients to Create Beautiful Web Backgrounds and EffectsEngaging your audience and increasing their time spent on the website is possible with CSS3 gradients. Your university website can really stand out with its visual appeal. CSS3 is useful when creating and formatting content structure in web design. Y...
What Is The Conversion Rate Formula?What is the conversion rate formula? Well, the conversion rate formula is a way to calculate the rate at which a marketing campaign converts leads into customers. To determine the success of your online marketing campaigns, it’s important to un...