Resize Image without Loss of Quality through Perfect Resize

Have you ever tried resizing an image to make it bigger? As a rule, in most cases this leads to loss of quality, where the enlarged image looks blurry and unprofessional.

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Recently, one of our users asked us how to change the image when it is initially small, turning it large without losing quality? In this article, I just want to share practical advice on this topic.

Why Do Enlarged Images Lose Quality?

Bitmap is the most commonly used image format on the Internet. All png and jpeg files belong to bitmap images. It consists of thousands of pixels. With an increase we can see them in the form of squares.

Enlarged pixels

Each of these points is strictly fixed in its place in the figure. Most image editing programs are designed to resize the image down. Therefore, a loss of quality is not evident, since these pixels have become even less noticeable. On the other hand, when you want to increase the image size, the enlarged pixels become very noticeable, as a result, the picture looks uneven and blurry. Like in this example:

Normal enlarged image

Is There A Solution?

There is a solution and it consists in compensating for each enlarged pixel, so that it matches its nearest one. This method is called such a terrible word as fractal interpolation or just fractals. It produces the best effect if they want to use it to enlarge a small image without losing quality. We will use it for editing in such a popular program as Photoshop.

Method 1: Using Perfect Resize with Adobe Photoshop

This is a program that allows you to resize images very quickly and easily. It is available as an addition to the Photoshop program. It is expensive, but it is of high quality and professional if you want to increase the size of the image without losing quality. Once again, I note that Perfect Resize is an addition to Photoshop. Open the program Adobe Photoshop and the image that we want to redefine from small to large. To do this, go to File -> Automate and select Perfect Size.

Running perfect resize

This will open the image in a separate application window. You can select the preset set that is on the left or select your size in the Document Size window

Set the size of the document

After entering the image value, you must save the changes and apply them in the Photoshop file. Go to the file (File) -> Apply (apply). Now you can export this file, saving it as a web document. That’s all. Now our resized image will look good enough than with normal magnification.

Image Comparison

Method 2: Using the Free Gimp Program

This is a free alternative to Photoshop. It also does resizes images with minimal quality loss. But somewhat inferior to perfect size in functionality.So let’s see how to change the image from small to large using Gimp.Open the image that we are going to enlarge in Gimp. Just go to File -> Scale Image.Enter the desired image size. In the Quality section, select SINC (Lanczos3) as the interpolation method and click on the Scale image button.

How to enlarge an image without losing quality with Gimp

That’s all! Now you can export the image to the Internet. Below is an example made using the Photoshop program (on the left) and gimp (on the right). At first glance it is very difficult to notice the difference.

Method 3: Enlarging an Image Using Irfanview

Irfanview is a compact photo editing program available for users of the Windows operating system. It is very easy to work to increase image size. All you need is to open the image and click on Image (image) -> Resize Resample (Resize). Enlarging a picture without losing quality in view. A dialog box will immediately appear in which you can choose your own size and method for enlarging the image and be sure to check “Apply Sharpen after Resample”, which means apply sharpness to the picture.

Apply sharpness to image

The image will be changed, save the results to your computer. As you can see, the free options are not very impressive making enlarged images in good quality, but you can change the sharpness and contrast to minimize loss of quality.

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