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In imagine science, modern digital sensors use this when combining RGB filtered sensors to produce the colors it originally captured
ОтветитьWhat would I look like if you divided by 1/9 (basically mathematically undoing what you originally did), but I'm guessing the picture will not return to normal. Would it be even more blurred?
ОтветитьDid I learn something, or what?
ОтветитьWhat would happen if you multiply by a number greater than one?
ОтветитьThis idea I had when I was a kid, could this similar idea take an image behind a diffusing filter & decode the original image?
ОтветитьIs that what anti-aliasing does in video games?
ОтветитьWht does Paint do this after you save as an image?
ОтветитьI had to do this in cs50… the hard part though was removing the edges from counting as black
ОтветитьThis is why blur is considered non-destructive to information
ОтветитьIf colors are vectors, that means that you can multiply them.
ОтветитьOh so that’s how blurring an image works code-wise…. Amazing how simple it is!
ОтветитьWhy rotated by 180?
ОтветитьSo this is like how people saw the pixels on a crt?
ОтветитьSo when you start drinking there's all kinds of math equations going on with every pixel you see.
😁
I learned nothing
ОтветитьIf you apply a normal distribution with its mean in the center and scale its values wrt the number of points from the center, you get a Gaussian Blur Filter. :)
ОтветитьI thought that was how it worked :)
ОтветитьWhy multiplied by 1/9 what is 1/9? Also why 3*3 matrix of 1/9?
ОтветитьUhuh
ОтветитьIf you run this backwards on blurry images can you make it look like you’re “enhancing” the image?
ОтветитьI done this about 32 years ago on my first PC with a 256 b/w colors. the intention was to move a picture to any position between 0 and 1. No one talks about Antialiasing, but I did it already...
ОтветитьOr in short this is box blur
Ответитьthe technique that you use is for making an image with poor resolution look better. but when the resolution is that bad like your mario, the result is not that great
ОтветитьMe trying to paint anything be like:
ОтветитьDo have an idea about what Nintendo gonna do with you if they discover that you are using Mario image without permission?
😂😂😂😂
This is the AVERAGE BLUR, changing the values in the matrix bit you can a GAUSSIAN BLUR🎉
ОтветитьSo when i blur an image in photoshop this is what happens?
ОтветитьHow can we reverse that?
Ответитьfunnily enough also learned about making images blurry like this in my computer vision course in order to differentiate image features from noise etc
ОтветитьBut, what is cloud gaming?
Ответитьthis is what anti-aliasing is and why it sucks
ОтветитьIs the reverse how those action movies do it when they say "Enhance!" and the picture gets less blurry?
ОтветитьNow... How to reverse...
ОтветитьVector?!
Does it allow you to commit crimes with both direction and magnitude?
Isn't this called anti ailising in video games ?
ОтветитьThat's how a linear filter for digital images works
Ответить>3am
>Cant sleep
why im watching this?
Is the reverse of this how you unblur an image? I’ve heard that is a problem and you should never blur sensitive body…I mean items.
ОтветитьHmm. Is there a reverse for this? Does it actually sharpen the image?
ОтветитьWhat if you make a correction afterwards? Such as a color palette from the original, depending on which color from the duplicate fits best is replaced by the original color.
Ответить🗿bro flexed hard
ОтветитьSo that's how the gaussian blur works nice
ОтветитьQuestion: is it possible to "unblur" an image, and find its original state before the convulation?
ОтветитьHi
ОтветитьIt's also the same as multiplication in the frequency domain.
ОтветитьIterate it, and all images turn into a gaussian.
ОтветитьDoes it affect the luminosity of the image ?
ОтветитьIsn't that just Gaussian blur? Or would that be averaging the adjacent pixels.
ОтветитьHow to do for a sharp image
ОтветитьMy mind is screaming DOT PRODUCT.
Ответить