Why normal resizing loses quality
When you scale a 500px image to 2000px using a standard resize, the software has to invent pixel data it does not have. It guesses by averaging neighbours, which produces blurry, soft results. AI upscaling works differently: it has been trained on millions of image pairs and learns how to reconstruct realistic detail at higher resolutions.
Step-by-step: Resize without losing quality
- 1
Upload your image in Camisual
Sign in at camisual.com, create a new design, and upload your image via "Add" and then "Upload Image" in the top menu.
- 2
Open the Image Editor
Click the image on the canvas to select it, then click "Edit Image" in the left Images panel.
- 3
Go to the Upscale or Super Res tab
Click the "Upscale" tab for standard AI upscaling at 2x or 4x, or click "Super Res" for the highest quality deep-learning reconstruction.
- 4
Select your scale factor and run
Under the Upscale tab, choose 2x to double the resolution or 4x to quadruple it. Click the upscale button. Processing takes a few seconds.
- 5
Apply and export at the new size
Click "Apply" when the preview looks good. Then export the image via "File" and "Export". Select PNG for lossless output.
Resizing the canvas
If you need to resize the canvas itself (for example to fit a specific output dimension), use "File" and then "Canvas Size" to enter exact width and height values in pixels. You can then reposition and resize your image layer to fit.
For print work, run Super Res rather than Upscale. Super Res produces sharper, more detailed results and is worth the extra few seconds of processing time when final output quality matters.