Image Background removal: How does it work

Image Background Removal: A breakdown of how it works

Image Background Removal: A breakdown of how it works

September 16, 2024

Photo editing is inevitably another area where AI has a significant impact. Its application allows for actions such as removing the background from a photo. Although it might seem that background removal happens very quickly, for example, when using an app, there are complex mechanisms behind it that enable such speed and simultaneously ensure a high-quality result.

What is Background Removal?

We often have hundreds of photos in our gallery, but not all of them capture the desired image. Perhaps the overcast day behind you isn’t appealing, the hustle and bustle of the city is distracting, or maybe you’d prefer a natural backdrop.

Now, all of this can be easily changed using image background removal, which is available in many apps or online tools related to photo editing. This feature allows you to erase the background of a photo, leaving only the main subject.

Furthermore, this function is widely used by businesses—online stores, photographers, and the entire advertising industry. It makes it even easier to tailor images and the objects within them to meet specific business needs. So how does the function itself work?

How Image Background Removal Works?

AI plays a crucial role in this process. Generally, this function involves algorithms and trained artificial intelligence that can separate the main objects from the background. Let’s take a closer look at how this works.

First, AI analyses the image itself, viewing it as a set of data. The entire photo consists of many tiny pixels, each of which the system examines, grouping them based on specific colours, patterns, and other attributes, which helps to form and distinguish the shape of the object.

Image Background Removal: A breakdown of how it works - SentiSight.ai
Picture pixels. Image credit: Ultimate Photo Tips

Second, AI recognizes the overall appearance of the main object and determines its precise edges and boundaries with the background.

Third, based on the information about the main object, the background is identified, isolated, and eventually removed from the photo. Depending on the selection, the background can be made transparent or replaced according to the user’s needs; for example, products in online stores can have their background immediately switched to white.

Often, AI also refines the edges of the main object to ensure it remains neat and aesthetically pleasing. Additionally, users are frequently given the option to manually adjust the object’s shape, meaning they can erase or restore specific parts of the object as needed.

Variety of Tools

There is a wide range of tools available on the market that offer this function. Various apps have been developed that provide access to this feature, and there are many articles online comparing and analysing which of these apps are the best.

When choosing the right app, it’s important to consider not only the price or ease of use but also the sophistication of the AI technology being used. The more advanced the AI, the more accurate and higher quality the results will be.

For example, Sentisight.ai offers a pre-built background removal model that uses advanced image recognition technology to ensure precise results. Moreover, it is easy to use.

Several methods are also offered for using the developed model, whether on a website, through a mobile app, or via REST API, depending on your needs.

Image background removal example
Removing the background of the photo. Illustrative photo. Image credit: sentisight.ai

Final Word

Today’s AI capabilities have grown significantly and are being integrated into various fields, enhancing the everyday lives of users. It’s up to you to critically select the highest quality tools that allow you to enjoy accurate results that meet your expectations.

Sources: SENTISIGHT.AI, Quora

Image Background Removal: A breakdown of how it works
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