The Nearest Neighbor algorithm is mostly used for pixel art, as it copies the color of the nearest neighboring pixels resulting in the classic blocky image look. The Lanczos algorithm is designed to preserve small details when upscaling and downscaling, which is useful for things like graphics, though it's important to watch out for haloing issues. However, this can sometimes cause blurry images (especially when upscaling). It tries to naturally smooth edges (transitions between light and dark colors) by guessing the intermediate colors, so it's useful for photographic images. The Bilinear algorithm is more or less the standard in image editing. In Pixelmator Pro, you can resize images using one of four scaling algorithms: Bilinear, Lanczos, Nearest Neighbor, and Super Resolution. For web graphics and images, a resolution of 72 PPI is often used as the default, although this is essentially placeholder text as web images should always be sized in pixels. Tip: The standard resolution for high-quality prints is 300 pixels/inch (PPI), although a lower resolution is often used for larger posters and other media that is viewed from a distance where it would be difficult to see individual pixels. Note that because you'll be changing the physical size of the image, pixels as measurement units will be grayed out. This way, changing the resolution will automatically change the print dimensions and vice versa, ensuring the pixel size of the image stays the same. Note: If you’d like to change the print dimensions of an image without changing the quality of the image (or its pixel dimensions), deselect the Resample checkbox. So, if you have a 10x10 inch image at 300 PPI, its pixel size would be 3000x3000. The basic formula for this is Print Size x Resolution = Pixel Dimensions. When you change the print dimensions of an image, you’re essentially changing its pixel dimensions indirectly by letting Pixelmator Pro calculate the size for you. Note: If you’d like to resize the image without keeping its original proportions, deselect Scale proportionally.
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