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Why do so many eyes suck at seeing blue color in images?”

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Why do so many eyes suck at seeing blue color in images?”

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As you can see, reducing the blue detail hardly makes an impact at all, even when you know it’s there. Try looking at the diagonal line on the hood of the car. You can just barely make out some yellow fringing, a bit of stair-steps where the blue detail is reduced. This is why DVDs, JPGs, and NTSC video can cut the detail in the colour channel – sometimes to an extreme extent – and still not cause riots when consumers realize they’ve been bilked. They just don’t notice, and if you don’t notice you don’t care. The above images are reduced in a very granular fashion – the pixels are large and square edged. If you were to increase their size in a fashion that blurred them, similar to how JPG, DVD + NTSC do, you’d be able to get away with much greater reductions without noticing much reduction in quality. Consider the following images, which were reduced by a factor of four, instead of 3 as above: You sure notice when someone tampers with your green!! The difference with red is certainly n

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I was just over on Slashdot reading on a new kind of pixel layout for some high-end applications, and it was discussed on the manufacturer’s website that the human eye, in a nutshell, sucks at blue. It sees very poorly where the color blue is concerned, which you may have noticed if you’ve tried to read a blue sign at night. It’s very blurry. They showed some examples which I didn’t like, so I whipped up some of my own, and here they are. This is proof, and some special kind of stunning proof IMO, that your eyes suck at blue. You can discuss this here. Ladies and gentlemen, meet Traci. She’s a good friend who likes being in front of the camera, and she doesn’t know it yet, but she’s been dissected for this demonstration. This picture is straight off the camera – no modifications were made except to reduce the size. This is Traci with her blue elements increased in size NINE TIMES. Each blue pixel is now 3 x 3 pixels in size, a nine-fold increase in the area of each blue pixel. You can’

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