Wed Mar 12, 3:
Here is how to do that: First you have to read in the picture file and convert it if necessary so that you have the width and height of the picture and the color usually RGB for each pixel in a 2 dimensional array the dimensions are the width and height of the picture.
It might sound easy to "just read in a picture file" but it is very tricky even for the simplest formats like.
What you think, why are there programs out there that specialize on picture viewing?
Because if you want to handle all picture formats without the help of some libraries you will spend your remaining life at least a few years writing libraries that handle picture formats before you can create your ascii generator prog.
Even in BMP files there are 1, 2, 4, 8, 16, 24, and 32 bit color depth representations that totally differ in binary, and it might contain RLE compression and a lot of other things if we supported various other headers: So support just pure 32 bit bmp files. Search for bmp tutorials using google, I wont write the th bmp tutorial.
Its not just reading in bytes from a file and using them as color values, basically every picture file format contains a header at the beginning of the file and different kind of other garbage here and there Lets say you successfully allocated your memory and read in the color values of each pixels into memory and by specifying a row Y and column X value you can pick the color RGB of a pixel from your picture.
To make ascii art you have to be able to convert every pixel into grayscale the Red, Green, and Blue - aka RGB - components of it into intesitythere are a lot of methods to do that http: The color of a pixel consists of 3 values 3 channels - at least in RGB color space and you will convert it to a single value 1 channel - intensity.
This is already a lossy conversion. The R G and B values in bmp files are bytes, this means that their range is [ Your resulting intensity is also a byte with range [ The linked wiki article mentions the method I always used to convert RGB to a single grayscale intensity value: The next step is to associate an ascii character with each intesity value from 0 to The problem is that you have only a limited number of ascii characters, much less than that you need so first you have to downsample your " color" grascale bitmap to use much less intensity values this is a lossy conversion like when you convert a 32 bit color bitmap into a 1 or 4 or 16 or whatever color bitmap.
During downsampling you can achieve much better quality by applying dithering but that goes far beyond what fits into this mini beginner tutorial so I will use a much simpler method. Instead of values in my grayscale image I want only 8, so I divide each intensity value by After this each intesity value will be in the range [ After this I associate all the intensity values with an ascii character:The Best Free Text Editors for Windows, Linux, and Mac.
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