![]() ![]() When you upsample your images, you should try bilinear, bicubic, and any other available interpolation algorithms to see which one yields the best results. There are other interpolation algorithms we can use and results may be better or worse, depending on the image. This method can produce a highly accurate result and in many cases, it’s difficult to tell the difference between an upsampled image and the original if done properly.Īs you can see in this basic visual representation of upsampling using nearest-neighbor interpolation, the two images are similar or even identical. In other words, when a photo is upsampled, more pixels are added to the resolution to fill in the gaps with accurate values. Interpolation works by using existing information to estimate new values in unknown points and approximate pixels based on neighboring pixels. Upsampling is an image-enlarging process that relies on various algorithms to limit the loss of quality through interpolation. The resizing method will maintain the number of pixels and only change the size at which the image will be printed. That being said, it’s generally not recommended to enlarge an image by resizing it. Sometimes 150 PPI is just fine and you won’t notice any difference. It all depends on your image and the purpose of the print. The image will be larger, but the resolution might be too low to print the finer details. If the “Resample Image” option is disabled and you double the dimensions of the image, the resolution (measured in pixels per inch or PPI for short) will be automatically reduced from 300 PPI to 150 PPI. For example, in Photoshop you have the Image Size option where you specify the size of your image by changing the width and height parameters. We see many customers using a resizing tool when they should be using resampling instead. Both methods will change the size of the image but in different ways and for different purposes. If you change the pixel count in an image, then what you’re doing is known as resampling. It doesn’t add any new data to the image. Resizing refers to changing the print size of an image while maintaining the same number of pixels. Resizing and resampling are two different techniques, and each one of them has its place in post-processing. The two terms are often interchanged and used incorrectly. ![]() In this article, we’re going to explore the concept of upsampling and the best tools you can use to turn your photos into high-quality prints. In any case, there’s a right way of enlarging your images and a wrong way. Or maybe you took a low-resolution photo using your phone and now you need to scale it up. Perhaps you want to create a large metal print from one of your photos to decorate your home. There are many reasons why you’d want to enlarge an image. In addition to resolution, file format, color profile, and ratios, you’ll need to consider enlarging your images. This step is crucial and shouldn’t be ignored, because the entire look of the final product depends on it. When it comes to printing, one of the biggest challenges is preparing your images.
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