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The contrast ranges from black at the weakest intensity to white at the strongest. [1] 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.
ColorCode 3-D, [21] [22] a anaglyph stereoscopic color scheme, uses the RG color space to simulate a broad spectrum of color in one eye, while the blue portion of the spectrum transmits a black-and-white (black-and-blue) image to the other eye to give depth perception.
PDF has (as of version 2.0) 25 graphics state properties, of which some of the most important are: The current transformation matrix (CTM), which determines the coordinate system; The clipping path; The color space; The alpha constant, which is a key component of transparency; Black point compensation control (introduced in PDF 2.0)
A photograph of a neighborhood watch sign is the foreground color while the rest of the image is the background color. [1] In the document-scanning industry, this is often referred to as "bi-tonal". A binary image is a digital image that consists of pixels that can have one of exactly two colors, usually black and white.
Gaussian PDF has a normal distribution. The relationship of probabilities of results follows a bell-shaped, or Gaussian curve, typical of dither generated by analog sources such as microphone preamplifiers. If the bit depth of a recording is sufficiently great, that preamplifier noise will be sufficient to dither the recording.
For example, to print a white character with a black background, a color attribute of 0F hex would be used. The high four bits are set to 0000 bin, representing the background color, black. The low 4 bits, 1111 bin, represent the foreground color, white. The highest bit of the color attribute, which is also the highest bit of the background ...
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