Control: The enlarged image below was not done in SmillaEnlarger, rather it is a normal resize performed in Photoscape (Lanzcos resizing filter). I choose this output size (roughly double the original) because I wanted to publish the resized images on this blog in their actual size, and I am restricted by the width of this column.īut I’ve performed enlargements that are x5 or 圆 the size of the original, with the same general results as the ones presented below.ġ. Original image: 250×147, see below (actual size). Later, you can compare the different outputs to see which one you like best. Step 6: (optionally) go back and redo steps 4 and 5 for each settings profile in the dropdown.
Step 5: enter a desired filename for resized image (or use the default provided) then click “Enlarge and Save”.
You (move the image slightly with the mouse to get back to the default, no-processing enlargement). (Optionlly) press the “preview” button on the right to get a preview of what the enlarged image will look like under each setting. Step 4: use the dropdown under the “Enlarger Parameter” section to select one of the available presets. Note: the output width will be calculated automatically and will assume the same aspect ratio as the original. Step 3: Enter the desired output height in the top left. Step 2: Once the program runs, simply drag and drop the image you want onto the interface. Unzip then run SmillaEnlarger.exe (no installation needed). Step 1: go to the SmillaEnlarger web site and download the latest version. To demonstrate the kind of results that can be obtained, I will attempt to enlarge a test image using the different profiles that are pre-built into the application.įirst, step by step instructions, then an overview of a test resize. The tool used here is a free software called SmillaEnlarger, and it can perform image enlargement quickly and easily (and automatically) in one or two clicks. Nor is this post about manual image processing or Photoshopping techniques. Rather, what is on offer here is the prospect of processing the enlarged image algorithmically to get a much better/cleaner looking resized image than otherwise would be the case. To be clear, the steps described here will not magically produce a perfect image out of a source which (by definition) is far from optimal. This post will describe a process that can lead a different outcome. Have you experienced a situation where an image you are interested in using is smaller than you would like it to be, whether it might be for printing purposes or for use in illustration projects or even for usage on the web, etc? Typically, straight-enlarging of an image comes with too much of a degradation in quality, with visible pixellization and undesirable artifacts, and a general loss of detail.
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