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Eichhorn212

: How is it possible to use raster images on billboards at such large sizes? I am learning graphic design. I know Illustrator is for vectors and Photoshop is raster images. When it is enlarged

@Eichhorn212

Posted in: #PrintDesign #Raster #Vector

I am learning graphic design. I know Illustrator is for vectors and Photoshop is raster images. When it is enlarged in Photoshop you can see the individual pixels and raster results. So Illustrator is widely used in Billboards nowadays. But a question comes to my mind.

I always see some edited image or photo used in the billboard. I don't understand how they can make these large images since when I make it so big it looks pixelated and rasterized in photoshop.

How is this possible?

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@Speyer780

The reason it's possible is because it doesn't have to be super great quality.

Look at this question the print DPI can be much lower on a billboard than your typical print because the viewing distance is so much father away.

For instance a 3000x3000px image at 75dpi turns out to be a 40x40in (102x102cm) image.
If we switch the dpi to 10, the image becomes 300x300in (762x762cm), a huge increas, easily allowing that image to be used on a billboard.

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@Deb5748823

Professional cameras

Resolution helps in this situation but not much: the Nokia Lumia 1020 has 41 megapixels and the photos are far from good. Only the use of special equipment and good illumination make an image ready to place on a billboard. This raster images are taken with professional cameras that capture every detail of the scene.

You may find plugins that convert images to high resolution minimizing the loss of detail, but the results are blurry and smudgy even when the result is high-res.


Take into consideration that when you look at a billboard you are
looking from a far distance, and it is hard to detect irregularities
for the human eye. It will always look good, unless you have superhuman
vision.


Also, in Photoshop or any other photo retouching program you may use sharpen filters that "cheat" the human eye, making you believe that what you are seeing is a very sharp image. For example, this site has a tool that suggests how much 'sharpen' you must apply to an image based on the distance of the viewer.

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