Be careful generalizing the audio results to pixels. The central lesson of xiph's work is that people simply cannot hear frequencies above, let's say 20kHz. Therefore, as long as your sampling rate is above the Nyquist limit (and under the assumption the signal chain is linear), any reconstruction filter that passes frequencies through 20kHz is effectively "perfect."
There are two ways this is not true for pixels. First, even for "retina" displays the human visual system can make out spatial frequencies beyond the Nyquist limit of the display (this will vary by viewing distance, so is more of an issue for young people who can get close to their displays). Second, even assuming perfect gamma, the display must clip at black and white because of physical device limitations. Thus, especially for text rendering, only a reconstruction filter with nonnegative support is generally useful. Such a reconstruction filter would be an extremely poor choice for audio.
It is true that many of the underlying signal processing principles are the same, and I encourage people to learn and understand those :)
Thanks for the heads up. There is one specific section where he compares pixels to lollipop graphs and that is mainly what I was referring to, I didn't mean to suggest that all the principles in the video apply to graphics in the same way that they apply to audio.
There are two ways this is not true for pixels. First, even for "retina" displays the human visual system can make out spatial frequencies beyond the Nyquist limit of the display (this will vary by viewing distance, so is more of an issue for young people who can get close to their displays). Second, even assuming perfect gamma, the display must clip at black and white because of physical device limitations. Thus, especially for text rendering, only a reconstruction filter with nonnegative support is generally useful. Such a reconstruction filter would be an extremely poor choice for audio.
It is true that many of the underlying signal processing principles are the same, and I encourage people to learn and understand those :)