On the other hand, using lower pixel densities than the ones in the table could help you save some storage space. However, this would result to higher file size or longer printing times. If we need to print very intricate designs or very detailed pictures, we can go for higher pixel density values. Using these minimum pixel densities would already give high-quality prints. As our guide, below is a table of pixel densities suitable for prints depending on their viewing distances: Minimum pixel density However, if we want an excellent quality print that we can inspect really close-up, we can opt for a picture of at least 300 PPI, the industry standard for making prints. On the other hand, pixels per inch for prints at smaller formats (like for ones we view at an arm's length and can use in picture frames and photo albums), we will need a pixel density of at least 180 PPI to achieve good results. If we get closer to these prints, especially at even lower pixel densities, we might not readily recognize what is being shown because we'll already start to see a large grid of square boxes. This pixel density of 50 PPI is suitable for large format prints like posters and billboards wherein they are viewed from far away. In the illustration above, we can see that the image shown have 50 pixels for an inch of the picture. Here is an illustration of a 50 PPI image to understand pixels per inch even further: You can also check out the PPI definition part of our PPI calculator to learn more about the pixels per inch unit of measurement. For now, to simplify this text, let us consider the more common pixels per inch or PPI when dealing with pixel density. With that said, we can then set our units for pixel density as either pixels per inch or pixels per centimeter. Since we can set infinite options for image dimensions, we can consider one line of pixels by a unit (of measurement), such as an inch or a centimeter for our arbitrary area, as we mentioned earlier. Pixel density, as the name "density" implies, is the amount of pixels in a given area. In most image editing and rendering software, we are given the option to either input our desired image file dimensions in units of pixels, our planned actual print dimensions, or the pixel density of our project.
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