: Why are there significant differences in file sizes despite the same format and approximate pixel counts? I'm not entirely sure this is the right community for this question but it doesn't seem

@RJPawlick971

The bit string 1010101010 can be encoded different ways. Each different way requires different amounts of file space. Different formats encode in different ways.

Comparing two different means of encoding the above string using NRZ (non-return to zero) requires less space than CRC (Cyclic Redundancy Check). There are many different schemes used for compressing data to save space over simple strings of bits.

Here are some diagrams to help you see how counting the clock cycles can help you visualize the extra steps going from 0 to 1 and back.

NRZ and its variations

CRC and its flavours

Alignment of graphical elements changes the amount of data in the raster scan. A horizontal path needs a beginning and an end on only one raster scan line. That takes up no real space in the file to encode. A diagonal path requires a start and a stop on each of the scan lines that the diagonal intercepts which accounts for significantly more file space to specify. The file has no more pixels but the alternation "on" and "off" directions for each of the raster scan lines require more "instructions" which takes up more file space.

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@Ann6370331

So PNG uses compression, and put simply, the best-case is where all bytes are identical and worst-case is going to be random data.

My very basic understanding of PNG is that it compresses based on "scanlines" and the algorithm assesses the effectiveness of several filtering schemes to figure out which one is best for the particular scanline. I think it may be a deflate algorithm similar to gzip, or at least that's what someone on the internet wrote.

The most obvious thing about your two images is the difference in density of the lines. Another way to put this is that image 2 is less uniform on a line-by-line byte-by-byte basis (i.e. more randomness).

The best way to increase compression for these two items is to reduce the color depth: try an indexed color mode or greyscale (8-bit PNG) rather than rgb+alpha. This will reduce the uncompressed data size to a third of the size (or a quarter if you are using alpha).

Note also that a "2 megapixel difference" in pixel dimension is actually a 6MB difference in uncompressed data size for an RGB image (2MB per channel).

If I recall, one of the users on this stackexchange actually "wrote" PNG.

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