A sharper 360 photo lets your visitors better appreciate the details of the place you’re showing. This tutorial shows you how to increase photo resolution for 360 images automatically with AI.
Our example is a 360 photo we took, processed with our own super-resolution system and no other retouching.
Super-res onLow resolution
Low-resolution 360 photo on the left, super-resolution on the right. You can look around inside the image.
Panoraven’s super-resolution doubles the resolution of your image using artificial intelligence (deep learning).
In this tutorial, you’ll:
✅ Understand why super-resolution is especially useful for 360 photos and virtual tours.
✅ See what it adds compared with traditional upscaling methods.
✅ Learn how to use it to sharpen your own virtual tours.
Tutorial contents
Why increase photo resolution for 360 images?
A photo that lacks sharpness works against you: it hurts both your visitors’ experience and your brand.
This is especially true of 360 photos. A 360 camera with an advertised resolution of 6K seems to offer more than enough pixels for a sharp photo. But those pixels cover the entire 360° panorama.
In a virtual tour, your visitor only looks at part of it at a time. The part actually on screen comes to about 1.5K, a quarter of the advertised resolution.
That’s why a photo advertised as 6K can still lack sharpness on screen.
So for 360 image enhancement, super-resolution is especially useful.
The idea is to produce a high-resolution image from a low-resolution one. This process is called super-resolution.
Reducing an image’s resolution is easy: you shrink its dimensions in photo editing software. That’s what you do to create a thumbnail, for example.
The problem comes when you want to do the opposite: increase image resolution and size. Degrading an image is easy, but restoring it is far harder.
Yet it’s a problem worth solving, for example in these situations:
- You want to get the most out of the original 360 photo and increase its native resolution.
- You don’t have access to the full-size original, but you want a higher-quality version.
Traditional image enhancement methods
Standard photo editing software offers several ways to enlarge an image. The best known are bilinear, bicubic, and Lanczos interpolation.
One of these resampling methods runs every time you resize an image.
These methods don’t use artificial intelligence, only simple formulas: each new pixel is an average of its neighbors. The image gets bigger, but no real detail appears.
How does super-resolution work?
Super-resolution uses artificial intelligence (deep learning), unlike traditional interpolation methods.
In practice, a neural network is shown a huge number of images, in degraded and original versions. It learns what a sharp edge or a texture looks like, then it can redraw those details on a photo it has never seen.
Traditional method or super-resolution?
To see the difference, we degraded a photo of our mascot, then tried to recover the original with each method.
The originalOur reference photo
Low resolutionWe degrade it
?The originalWe try to recover it
?Our goal: start from the low-resolution version and recover the original. Here’s what each method produces. The original is on the left of each slider.
Two methods, one goal. The original is on the left of both sliders.
With a traditional method
Original
Traditional methodThe result looks blurry next to the original.
With super-resolution
Original
Super-resolutionSuper-resolution recovers nearly all of the original’s detail.
The limits of super-resolution
First limit: how some details look. AI improves image sharpness, but small text can get distorted and some textures can take on a slightly painted look.
Second limit: load time. Super-resolution gives your photo four times as many pixels, which can make it slower to load. A tour that loads quickly is essential to your visitors’ experience. So the sharpness gain has to justify the extra wait.
The goal is a tour that’s sharp and loads fast. If your photo is already very detailed, the sharpness gain may not justify the longer load time.
Is super-resolution right for your 360 photos?
To find out, select your 360 camera or drop your image here:
How to use super-resolution on your 360 photos
Super-resolution for 360 photos is one of our Premium features. It’s available on the Starter plan and up, but you can try it free for 10 days (no credit card required).
Step 1: Upload the 360 photo from the dashboard
If you already have an account, log in. Then, from your dashboard, upload your 360 photo or click the gear icon on an existing photo. The 360 editor opens.
Step 2: Enable super-resolution
In the editor, the super-resolution button is at the top right.
Click it, then click the toggle on the card that opens. The toggle should quickly turn from gray to orange.
Processing can take a while, but you don’t need to stay on the page: it runs in the background. You can leave or work on other photos, then come back later. The toggle turns green when your image is ready.
Step 3: Compare your results
Once the toggle is green, your image is ready. Click Compare with original on the same card, then drag the divider in the viewer to see the difference between the two versions.
Let’s recap
The key points in 30 seconds
- Super-resolution makes your photos sharper with AI.
- It’s especially useful for 360 photos, because the pixels are spread across the whole panorama.
- It can improve most of your photos. Above 10,000 × 5,000 pixels, the gain is often less worthwhile.
- The file gets bigger: you need to balance sharpness and load time.
Try it on your 360 photos
Try super-resolution for 10 days, no credit card required.
- 10-day free trial
- No credit card
