#110104 - Sepia Black Hex Color Code
#110104 (Sepia Black) - RGB 17, 1, 4 Color Information
- #110104 (Sepia Black) - RGB 17, 1, 4 Color Information
- #110104 Conversion Table
- Percentages of Color #110104
- Color spaces of #110104 Sepia Black - RGB(17, 1, 4)
- #110104 Color Accessibility Scores (Sepia Black Contrast Checker)
- Sepia Black ↔ #110104 Color Blindness Simulator
- #110104 Color Combinations - Color Schemes with 110104
- Shades and Tints of #110104 Color Variations
- Alternatives colours to Sepia Black (#110104)
- #110104 Color Codes for CSS3/HTML5 and Icon Previews
Percentages of Color #110104
Color spaces of #110104 Sepia Black - RGB(17, 1, 4)
HSV (or HSB) | 349°, 94°, 7° |
HSL | 349°, 89°, 4° |
Web Safe | #000000 |
XYZ | 0.264, 0.150, 0.130 |
CIE-Lab | 1.352, 4.985, 0.473 |
xyY | 0.486, 0.275, 0.150 |
Decimal | 1114372 |
#110104 Color Accessibility Scores (Sepia Black Contrast Checker)
On dark background [POOR]
On light background [GOOD]
As background color [GOOD]
Sepia Black ↔ #110104 Color Blindness Simulator
#110104 Color Combinations - Color Schemes with 110104
Shades and Tints of #110104 Color Variations
#110104 Shade Color Variations (When you combine pure black with this color, #110104, darker shades are produced.)
#110104 Color Codes for CSS3/HTML5 and Icon Previews
#110104 in Programming
HTML5, CSS3 | #110104 |
Java | new Color(17, 1, 4); |
.NET | Color.FromArgb(255, 17, 1, 4); |
Swift | UIColor(red:17, green:1, blue:4, alpha:1.00000) |
Objective-C | [UIColor colorWithRed:17 green:1 blue:4 alpha:1.00000]; |
OpenGL | glColor3f(17f, 1f, 4f); |
Python | Color('#110104') |
#110104 - RGB(17, 1, 4) - Sepia Black Color FAQ
Hex color code for Sepia Black color is #110104. RGB color code for sepia black color is rgb(17, 1, 4).
The RGB value corresponding to the hexadecimal color code #110104 is rgb(17, 1, 4). These values represent the intensities of the red, green, and blue components of the color, respectively. Here, '17' indicates the intensity of the red component, '1' represents the green component's intensity, and '4' denotes the blue component's intensity. Combined in these specific proportions, these three color components create the color represented by #110104.
The RGB percentage composition for the hexadecimal color code #110104 is detailed as follows: 6.7% Red, 0.4% Green, and 1.6% Blue. This breakdown indicates the relative contribution of each primary color in the RGB color model to achieve this specific shade. The value 6.7% for Red signifies a dominant red component, contributing significantly to the overall color. The Green and Blue components are comparatively lower, with 0.4% and 1.6% 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 #110104.
The RGB color 17, 1, 4 represents a dull and muted shade of Red. The websafe version of this color is hex 000000. This color might be commonly referred to as a shade similar to Sepia Black.
In the CMYK (Cyan, Magenta, Yellow, Black) color model, the color represented by the hexadecimal code #110104 is composed of 0% Cyan, 94% Magenta, 76% Yellow, and 93% Black. In this CMYK breakdown, the Cyan component at 0% influences the coolness or green-blue aspects of the color, whereas the 94% of Magenta contributes to the red-purple qualities. The 76% of Yellow typically adds to the brightness and warmth, and the 93% 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 #110104 has an HSL value of 349° (degrees) for Hue, 89% for Saturation, and 4% for Lightness. In this HSL representation, the Hue at 349° indicates the basic color tone, which is a shade of red in this case. The Saturation value of 89% describes the intensity or purity of this color, with a higher percentage indicating a more vivid and pure color. The Lightness value of 4% 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.
Sepia Black #110104 Similar Colors
Different 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...
The Use of Color in Educational Materials and TechnologiesColor has the power to influence our emotions, behaviors, and perceptions in powerful ways. Within education, its use in materials and technologies has a great impact on learning, engagement, and retention – from textbooks to e-learning platfor...
The Ultimate Conversion Rate Optimization (CRO) ChecklistIf you’re running a business, then you know that increasing your conversion rate is essential to your success. After all, if people aren’t buying from you, then you’re not making any money! And while there are many things you can do...
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...