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CSS image replacement is a Web design technique that uses Cascading Style Sheets to replace text on a Web page with an image containing that text. It is intended to keep the page accessible to users of screen readers, text-only web browsers, or other browsers where support for images or style sheets is either disabled or nonexistent, while allowing the image to differ between styles.
Binary images are also called bi-level or two-level. Pixel art made up of two colours is often referred to as 1-bit in reference to the single bit required to store each pixel. [2] The names black-and-white, B&W, monochrome or monochromatic are often used, but can also designate other image types with only one sample per pixel, such as ...
However, it varied depending on the element. The HTML width attribute of a table defined the width of the table including its border. [7] On the other hand, the HTML width attribute of an image defined the width of the image itself (inside any border). [8] The only element to support padding in those early days was the table cell.
The W3C specifications SVG and CSS level 3 module Color eventually adopted the X11 list with some changes. [7] The present W3C list is a superset of the 16 "VGA colors" defined in HTML 3.2 and CSS level 1. One notable difference between X11 and W3C is the case of "Gray" and its variants.
Grayscale images are distinct from one-bit bi-tonal black-and-white images, which, in the context of computer imaging, are images with only two colors: black and white (also called bilevel or binary images). Grayscale images have many shades of gray in between. Grayscale images can be the result of measuring the intensity of light at each pixel ...
9-slice scaling (also known as Scale 9 grid, 9-slicing or 9-patch) is a 2D image resizing technique to proportionally scale an image by splitting it in a grid of nine parts. [1] The key idea is to prevent image scaling distortion by protecting the pixels defined in 4 parts (corners) of the image and scaling or repeating the pixels in the other ...
This creates a so called 3-3-2 8-bit color image, arranged like on the following table: Bit 7 6 5 4 3 2 1 0 Data R R R G G G B B. This process is sub optimal. There could be different groupings of colors that make evenly spreading the colors out inefficient and likely to misrepresent the actual image.
The simplest thresholding methods replace each pixel in an image with a black pixel if the image intensity , is less than a fixed value called the threshold , or a white pixel if the pixel intensity is greater than that threshold. In the example image on the right, this results in the dark tree becoming completely black, and the bright snow ...