Have you ever seen those images that are a bunch of squares or circles all in different colors? They’re called “blurred format” or “pixelization” images, and they can be really helpful in making privacy more robust. Here’s how you can turn any image into a blurred format with a few simple steps!
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What Is Pixelization?
Pixelization or blurred format is a type of image file that has been blurred or smeared. The purpose of this technique is to reduce the clarity of an image so that it is not as easily recognizable. This can be useful for security purposes or to make a photo less noticeable. Moreover, you can create a feature where users can anonymize their avatars under specific conditions.
The Different Types Of Pixelization
There are a few different ways that you can pixelate images. The most common type of blur is probably the Gaussian blur, which is what you think of when you think of a “blurry” photo. Each pixel in the image is given a weight based on a Gaussian distribution, and all of the pixels are averaged together to produce the final image.
There are other blurs, such as motion and out-of-focus blurs. Motion blurs occur when an object in the image moves too fast for the camera to capture it adequately, so you end up with a streaky or blurry image. Out-of-focus blurs happen when the image’s subject is not focused, so you get a fuzzy picture. Of course, there is a solution to recover and focus on making a clear and crisp image again. For example, you can utilize sharpening software or services, but this article does not discuss it.
Finally, there are also intentional blurs, sometimes used for artistic effect. For example, you might take a landscape photo and intentionally blur the background while keeping the foreground in focus. This can create an excellent product and make your image stand out from others.
What Is Face Pixelization API?
Do you ever wish you could blur out certain parts of an image, like a face? Well, there’s now an API for that! The Face Pixelization API allows developers to pixelate faces in photos, making them unrecognizable. This can be useful for privacy purposes or just for creating cool effects. The API is easy to use, and it’s free to get started.
How To Turn Images Into Pixelized Format?
If you’re looking to add a bit of mystery or intrigue to your photos, blurring them can be a great way to do so. Blurred images can create a sense of movement or make it difficult for viewers to see the details of what’s going on. Either way, it’s an excellent effect that can make your photos stand out.
As a solution, I would say the Face Pixelizer API by APILayer is the best option in the market. With its computer vision services, cheap subscriptions, and easy integration, you can make something valuable for yourself in seconds.
What Is Face Pixelizer API?
Face blurring is a computer vision technique for masking faces in images. When this technique is used, the face becomes blurred, and the person’s identity becomes indistinguishable. We use face blurring to help protect a person’s identity in an image.
What Are The Use Cases Of Face Blurring And Anonymization?
- Privacy and identity protection in public/private areas
- Protecting children online
- Photojournalism and new reporting
- Dataset curation and distribution
What Does This API Do?
Face pixelization API performs a deep neural network module with Caffe models and detects the faces with a confidence score on the given image. Once this step is completed, it extracts the region of interest (ROI) from the picture, applies the pixelization filter on the ROI, and returns the modified image as a binary output.
How To Integrate Face Pixelizer API?
This API is built on the REST protocol. Our API uses standard HTTP response codes, authentication, and verbs, accepts form-encoded request bodies, returns JSON-encoded responses, and uses predictable resource-oriented URLs. Takes form-encoded request bodies, returns JSON encoded responses, and uses predictable resource-oriented URLs.
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var myHeaders = new Headers(); myHeaders.append("apikey", "{API-KEY}"); var requestOptions = { method: 'GET', redirect: 'follow', headers: myHeaders }; fetch("https://api.apilayer.com/face_pixelizer/url?url={url}", requestOptions) .then(response => response.text()) .then(result => console.log(result)) .catch(error => console.log('error', error)); |
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{ "result": "https://assets.apilayer.com/face_pixelizer/tmp/09713258-e065-11ea-b846-0242ac13000.jpg" } |
As you can see, it is straightforward. Moreover, here on this page, you can play with a live demo in an interactive environment.
How To Automate Face Pixelization?
Pixelization is a common technique to blur or reduce an image’s resolution. This can be done manually, or you may be using image editing software, or it can be done automatically using the Face Pixelizer API.
Why Should I Use Face Pixelization API By Apilayer?
In conclusion, pixelating an image is a simple process that can be done in just a few steps. The process can be straightforward with the proper development tools and the right services. As you can see, the Face Pixelization API by Apilayer is one of the market-leading services to pixelize faces in the image with high-level computer vision methods. Head over and get your free API access.
