#381faf - Daisy Bush Hex Color Code
#381FAF (Daisy Bush) - RGB 56, 31, 175 Color Information
- #381FAF (Daisy Bush) - RGB 56, 31, 175 Color Information
- #381faf Conversion Table
- Percentages of Color #381FAF
- Color spaces of #381FAF Daisy Bush - RGB(56, 31, 175)
- #381faf Color Accessibility Scores (Daisy Bush Contrast Checker)
- Daisy Bush ↔ #381faf Color Blindness Simulator
- #381FAF Color Combinations - Color Schemes with 381faf
- Shades and Tints of #381faf Color Variations
- Alternatives colours to Daisy Bush (#381faf)
- #381faf Color Codes for CSS3/HTML5 and Icon Previews
Percentages of Color #381FAF
Color spaces of #381FAF Daisy Bush - RGB(56, 31, 175)
HSV (or HSB) | 250°, 82°, 69° |
HSL | 250°, 70°, 40° |
Web Safe | #333399 |
XYZ | 9.859, 4.916, 40.987 |
CIE-Lab | 26.494, 51.763, -71.143 |
xyY | 0.177, 0.088, 4.916 |
Decimal | 3678127 |
#381faf Color Accessibility Scores (Daisy Bush Contrast Checker)
On dark background [POOR]
On light background [GOOD]
As background color [GOOD]
Daisy Bush ↔ #381faf Color Blindness Simulator
#381FAF Color Combinations - Color Schemes with 381faf
Shades and Tints of #381faf Color Variations
#381faf Shade Color Variations (When you combine pure black with this color, #381faf, darker shades are produced.)
#381faf Color Codes for CSS3/HTML5 and Icon Previews
#381FAF in Programming
HTML5, CSS3 | #381faf |
Java | new Color(56, 31, 175); |
.NET | Color.FromArgb(255, 56, 31, 175); |
Swift | UIColor(red:56, green:31, blue:175, alpha:1.00000) |
Objective-C | [UIColor colorWithRed:56 green:31 blue:175 alpha:1.00000]; |
OpenGL | glColor3f(56f, 31f, 175f); |
Python | Color('#381faf') |
#381faf - RGB(56, 31, 175) - Daisy Bush Color FAQ
Hex color code for Daisy Bush color is #381faf. RGB color code for daisy bush color is rgb(56, 31, 175).
The RGB value corresponding to the hexadecimal color code #381faf is rgb(56, 31, 175). These values represent the intensities of the red, green, and blue components of the color, respectively. Here, '56' indicates the intensity of the red component, '31' represents the green component's intensity, and '175' denotes the blue component's intensity. Combined in these specific proportions, these three color components create the color represented by #381faf.
The RGB percentage composition for the hexadecimal color code #381faf is detailed as follows: 22% Red, 12.2% Green, and 68.6% Blue. This breakdown indicates the relative contribution of each primary color in the RGB color model to achieve this specific shade. The value 22% for Red signifies a dominant red component, contributing significantly to the overall color. The Green and Blue components are comparatively lower, with 12.2% and 68.6% 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 #381faf.
The RGB color 56, 31, 175 represents a dull and muted shade of Blue. The websafe version of this color is hex 333399. This color might be commonly referred to as a shade similar to Daisy Bush.
In the CMYK (Cyan, Magenta, Yellow, Black) color model, the color represented by the hexadecimal code #381faf is composed of 68% Cyan, 82% Magenta, 0% Yellow, and 31% Black. In this CMYK breakdown, the Cyan component at 68% influences the coolness or green-blue aspects of the color, whereas the 82% of Magenta contributes to the red-purple qualities. The 0% of Yellow typically adds to the brightness and warmth, and the 31% 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 #381faf has an HSL value of 250° (degrees) for Hue, 70% for Saturation, and 40% for Lightness. In this HSL representation, the Hue at 250° indicates the basic color tone, which is a shade of red in this case. The Saturation value of 70% describes the intensity or purity of this color, with a higher percentage indicating a more vivid and pure color. The Lightness value of 40% 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.
Daisy Bush #381faf Similar Colors
When breaches of confidentiality and privacy became the norm on the Internet, all and sundry began to discuss VPNs. Today, we delve into the benefits of using VPN for designers. How can web designers leverage VPNs to enhance their productivity and sa...
What Are E-Commerce KpisE-commerce KPIs are key performance indicators that businesses use to measure the success of their online sales efforts. E-commerce businesses need to track key performance indicators (KPIs) to measure their success. Many KPIs can be tracked, but som...
The Comprehensive Guide to Choosing the Best Office Paint ColorsThe choice of paint colors in an office is not merely a matter of aesthetics; it’s a strategic decision that can influence employee well-being, productivity, and the overall ambiance of the workspace. This comprehensive guide delves into the ps...
Exploring the Role of Colors in BrandingColors play an indispensable role in shaping a brand’s identity, influencing consumer perception and reaction toward a business. These elements provoke an array of emotions, guide decision-making processes, and communicate the ethos a brand emb...
The Impact of Color on Student AttentionColor can be an underestimated and profound force in our daily lives, having the potential to alter mood, behavior, and cognitive functions in surprising ways. Students, in particular, rely on their learning environments for optimal academic performa...