17-05-2021, 04:35 PM
Mike, the question was about whether a resizing algorithm (shift+S in PSP) would do a better job before or after the image had been cropped (which is doesn't - it makes no difference). You're making the much broader point that an image that has been cropped will be a smaller file size - no argument there, obviously.
Regarding dither, it's one of those subjects that we don't have time to cover properly - the time pressures are immense, and arguably it's an issue for the manufacturers to worry about. Very occasionally you come across bits of kit where fundamental mistakes are made, but I can't remember the last example at the moment.
So to get the basics across really quickly, I usually show this video:
https://www.youtube.com/watch?v=zWpWIQw7HWU
The visual explanation at the start makes a lot of sense to most people - it's far easier to start with visuals rather than audio specifically.
Having demonstrated why it's a good idea to deliberately add noise to a system - a counter-intuitive result, I'm the first to admit, we can then think in audio-specific terms...
For example, the noise does not have to be white noise. Why not filter the noise so there's not so much energy in the midrange, but more at the higher frequencies? Doing that makes the noise less audible, despite the fact its amplitude has not changed. So this increases the signal to noise ratio (remember that audio noise measurements are "weighted", to roughly mimic the human hearing response, so the improvement isn't just subjective - it can be measured too).
Regarding dither, it's one of those subjects that we don't have time to cover properly - the time pressures are immense, and arguably it's an issue for the manufacturers to worry about. Very occasionally you come across bits of kit where fundamental mistakes are made, but I can't remember the last example at the moment.
So to get the basics across really quickly, I usually show this video:
https://www.youtube.com/watch?v=zWpWIQw7HWU
The visual explanation at the start makes a lot of sense to most people - it's far easier to start with visuals rather than audio specifically.
Having demonstrated why it's a good idea to deliberately add noise to a system - a counter-intuitive result, I'm the first to admit, we can then think in audio-specific terms...
For example, the noise does not have to be white noise. Why not filter the noise so there's not so much energy in the midrange, but more at the higher frequencies? Doing that makes the noise less audible, despite the fact its amplitude has not changed. So this increases the signal to noise ratio (remember that audio noise measurements are "weighted", to roughly mimic the human hearing response, so the improvement isn't just subjective - it can be measured too).







