Artificial intelligence makes it easier for content creators in several ways, including increasing the resolution of an image. Learn how this technology helps improve photo quality.
Editing images can be a tedious task. Indeed, it is sometimes difficult to obtain a clear and precise photo. This is especially true if the photo is too small and needs to be enlarged. Luckily, there are some AI-based tools to increase image resolution. Read on and find out how this technology makes this task easier.
Upscaling meets image quality requirements
AI image upscaling consists of use artificial intelligence algorithms to improve the resolution of an image. This can be done by increasing the number of pixels in the image or by improving the quality of existing pixels.
The process can be carried out by several different methods. The most common practice is to use an artificial neural networkan algorithm designed to simulate the functioning of the human brain.
AI image upscaling software can provide more accurate results than manual photo editors because it can improve your image resolution by up to 4 times. Indeed, the software can automatically select and apply the best algorithms for this task. This means you will get better results in less time.
An upscaling can speed up the editing process by automating many tasks that are usually done manually, such as balancing sharpness, correcting photo color softness, or adjusting resolution.
So, to get high quality images, it is better to turn to an AI resolution tool like en.depositphotos.com. By training a neural network on a high-quality image dataset, it can recognize the patterns that make up a clear, sharp image.
Bringing old photos to life with AI
Who among us has never felt the deep desire to bring old photos back to their original quality to relive old memories. However, manually restoring old photos is usually laborious and time-consuming. Also, most users cannot afford these expensive services.
With the emergence of deep learning, low quality images can be restored. To achieve this, it is necessary to exploit the representation capacity of convolutional neural networks. In other words, you have to learn the mapping of a specific task from a large amount of synthetic images.
Researchers have proposed a technique to automate this restoration process, which brings old images back to life with good resolution using AI. A news triple domain conversion technique is proposed. This technique is based on real photos and massive synthetic image pairs. It restores the photos in a modern form, as if they were taken by the best camera.
Unlike the simple cascade of multiple processing operators, this solution is specific to old photos and achieves much better results.
The amount of visual data collected around the world is mind-boggling. However, not all images are captured by high-end cameras, and very often they have imperfections. Thanks to the’rise in poweran AI-based concept, it is possible toincrease image resolution.
Another technique is to restore old photographs using a new triplet domain translation network. The latter exploits both real photographs and pairs of massive synthetic images.