31–40 of 47 posts
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Wow, caring about social gaps. Unthinkable today.
Unthinkable because government control at that level of granularity is such a stupid and downright offensive idea to begin with, or because it just plain doesn't work?
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I remember going to the US in 1998 and being shocked at how bad NTSC TV looked compared to PAL, the colours just looked wrong.
NTSC and PAL had very very different color gamuts.
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> Black&White-tv was almost HD, 625x625. Then they added 3Mhz color-carrier in 1966 and it was 300x300 Maybe adding color did decrease the luma bandwidth and hence the horizontal resolution. I'm not sure about that. I think bw signals just used less bandwidth overall. But in no way did color decrease the number of lines in the image. Those are defined by the scanning raster and remained the same in color and bw telev…
It's more obvious in US NTSC that the PAL being discussed here .... essentially the colour subcarrier was put way out in the high freq part of the luma signal - display - anything with too high a bandwidth and it stomps on the colour - you've all seen this happen on analog TV ... and it has had profound effects on fashion .... let me explain ... So what does "high frequency luma" mean? it means that the brightness of…
This is from 2008 - what are the newer developments in this space?
Digitization, colourization, audio resampling, and other computer-based treatments of original recordings have taken over as restoration techniques from what are now archaic analogue-based techniques.
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What was the benefit / reasoning for removing colour content?
Can't speak for Australia, but Israel in 1970's considered colour television as "a luxury that would increase social gaps"[0], and a similar colour burst erasing happened. This has lead to a rise of anti-erasing devices that reconstructed the colour burst, returning the colours. [0] https://en.wikipedia.org/wiki/Color_killer
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'Attempt to rationalize totalitarianism' alert.
"Totalitarianism is when we fix social problems". Thanks for providing an example of people finding it offensive to fix social problems.
This is from 2008 - what are the newer developments in this space?
Since it should be easy-ish to synthesize training data, I'd think combining this with deep learning could produce some good results.