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The 256 available colors would be used to generate a dithered approximation of the original image. Without dithering, the colors in the original image would be quantized to the closest available color, resulting in a displayed image that is a poor representation of the original. The very earliest uses were to reduce images to 1-bit black and white.
AV1 Image File Format Alliance for Open Media (AOMedia) AV1.avif image/avif General purpose royalty-free BAY: Casio RAW Casio.bay BMP: raw-data unencoded or encoded bitmap simple colour image format, far older than Microsoft; some .bmp encoding formats developed/owned by Microsoft.bmp, .dib, .rle,.2bp (2bpp) image/x-bmp Used by many 2D ...
Microsoft Paint saves a small black-and-white image as the following GIF file (illustrated enlarged). Paint does not make optimal use of GIF; due to the unnecessarily large color table (storing a full 256 colors instead of the used 2) and symbol width, this GIF file is not an efficient representation of the 15-pixel image.
A binary image is a digital image that consists of pixels that can have one of exactly two colors, usually black and white. Each pixel is stored as a single bit — i.e. either a 0 or 1. A binary image can be stored in memory as a bitmap : a packed array of bits.
The Y′ image is essentially a greyscale copy of the main image. YCbCr, Y′CbCr, or Y Pb/Cb Pr/Cr, also written as YC B C R or Y′C B C R, is a family of color spaces used as a part of the color image pipeline in digital video and photography systems. Y′ is the luma component and C B and C R are the blue-difference and red-difference ...
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.
Traditionally, SNR is defined to be the ratio of the average signal value to the standard deviation of the signal : [2] [3] = when the signal is an optical intensity, or as the square of this value if the signal and noise are viewed as amplitudes (field quantities).
In computing terminology, black-and-white is sometimes used to refer to a binary image consisting solely of pure black pixels and pure white ones; what would normally be called a black-and-white image, that is, an image containing shades of gray, is referred to in this context as grayscale. [2]