Revise photo in binary smoothly

Aug 6th, 2022
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How to Revise photo in binary

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Oh welcome to this video that looks at what an image actually is on a computer now if you think back to ancient times people used to make images using little colored stone blocks and they would arrange those blocks in an order and the way they ordered them would create an image now modern times nothing really has changed if you look very closely at your monitor youll see that the screen is made up of tiny little squares these squares are called pixels now the number of pixels you have on the screen is called your resolution Im going to show you how you can make a simple picture using nothing but a spreadsheet so Im going to create a Google spreadsheet and Ive got one here if you dont know how to do that you just go to your Google Drive okay if you go to your Google Drive go to create and then go to spreadsheet here is my spreadsheet now Ive got this picture of a space invaded here which Ive used by coloring in cells now Ive used a nifty little trick called conditional formatti

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The smallest 8-bit binary number (in the encoding most often used for representing colors) is 00000000, which represents zero, while the largest is 11111111, which represents 255.
Data in computers is stored and transmitted as a series of ones and zeros (also known as Binary). To store an image on a computer, the image is broken down into tiny elements called pixels. A pixel (short for picture element) represents one colour.
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).
Binary images are images that have been quantised to two values, usually denoted 0 and 1, but often with pixel values 0 and 255, representing black and white.
Binary images are images that have been quantised to two values, usually denoted 0 and 1, but often with pixel values 0 and 255, representing black and white.
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 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.
Each color for every pixel is represented by 8 bitsfor example dark green is represented as 01010010 (red), 10011010(green), and 01100110 (blue). The collection of individual pixels and their color values create images. Thats it! How images are represented in binary!

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