Cover up detail in binary

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Aug 6th, 2022
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How to cover up detail in binary

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Imagine trying to use words to describe every scene in a film, every note in your favorite song, or every street in your town. Now imagine trying to do it using only the numbers 1 and 0. Every time you use the Internet to watch a movie, listen to music, or check directions, thats exactly what your device is doing, using the language of binary code. Computers use binary because itamp;#39;s a reliable way of storing data. For example, a computeramp;#39;s main memory is made of transistors that switch between either high or low voltage levels, such as 5 volts and 0 volts. Voltages sometimes oscillate, but since there are only two options, a value of 1 volt would still be read as amp;quot;low.amp;quot; That reading is done by the computers processor, which uses the transistors states to control other computer devices ing to software instructions. The genius of this system is that a given binary sequence doesnamp;#39;t have a pre-determined meaning on its own. Instead, each type of

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Numerical representations. The intensity of a pixel is expressed within a given range between a minimum and a maximum, inclusive. This range is represented in an abstract way as a range from 0 (or 0%) (total absence, black) and 1 (or 100%) (total presence, white), with any fractional values in between.
Bitmap images are organised as a grid of coloured squares called pixels. Each different colour in the image is stored as a binary number. When zooming in or enlarging a bitmap image, the pixels are stretched and made into larger blocks. The quality of bitmap images reduces as they are enlarged.
Each pixel in an image is made up of binary numbers. If we say that 1 is black (or on) and 0 is white (or off), then a simple black and white picture can be created using binary. To create the picture, a grid can be set out and the squares coloured (1 black and 0 white).
Instead of using just 0 and 1, using four possible numbers will allow an image to use four colours. In binary this can be represented using two bits. per pixel: 00 white.
Binary images are images whose pixels have only two possible intensity values. They are normally displayed as black and white. Numerically, the two values are often 0 for black, and either 1 or 255 for white.
Binary encoding for colors with 4 bits each only applies for very simple devices, where 0000 is white, 0001 black, 0010 red, 0011 green, 0100 yellow, 0101 brown, 0110 orange, and 0111 blue.
BW = im2bw( I , level ) converts the grayscale image I to binary image BW , by replacing all pixels in the input image with luminance greater than level with the value 1 (white) and replacing all other pixels with the value 0 (black). This range is relative to the signal levels possible for the images class.
Binary Colour Binary RGB Colours are created using a mix of three colours, each set at a different brightness 0 for black, 255 for 100% brightness.

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