I have worked a lot with audio programming and while most of the article is right in what is known, it could be wrong at what we don't know. Technical myopia(yo

I have worked a lot with audio programming and while most of the article is right in what is known, it could be wrong at what we don't know. Technical myopia(you see too much of what you know but you don't see the big picture). We are using HDR in pictures even when the eye could not differentiate between HDR colors because it adapts to the general luminosity of the image but CAUTION the general luminosity level affects lots of biological cycles like the circadian rhythm. In normal pictures we discard this info, but this info is enough for a person to differentiate a picture from a real image in the real world. Also natural sensors work different than our eyes and ears. This difference makes HDR a necessary because we can see a huge shadow along with an illuminated area at the same time because our cones in the retina adapt locally, but if you make a single picture we can only choose to picture the bright areas, making shadows too dark, or choose the shadows making the bright areas appear too white. Artificial sensors linearize over a fixed level. Nature sensors are really continuous exponential, even touch. The same happens with our ears. So you are doing an spectral analysis using an arithmetic frequency decomposer called the FFT? Well, sorry to burst your bubble but the cloclea frequency analysis runs circles around anything we have. It does a geometric analysis, and also does it locally. Using just a single tone as an example is a fallacy. Most real sounds are not a single tone but changes in lots of frequencies at the same time. The law of diminishing returns applies to sound and video, we have a good enough experience for what we want to do, but by no means it is perfect. Ask John Carmack that is trying to create an immersive experience. Sound is one of the big problems. Yes, you can understand the sound, but you know that it is not the real sound you hear in the real world.