AI Image Processing: Brief Guide

AI Image Processing: Brief Guide

A Brief Guide To AI-based Image Processing

Artificial intelligence (AI) has had numerous breakthroughs over the past few years. Computer vision is one such breakthrough and is one of the most recent trends in the tech industry.

Computer vision is a field of AI that enables computers to acquire, analyze, and derive data from digital objects (images, videos, text). It involves numerous tasks, some of which require tools to perform. Data labeling, for instance, one of the sub-domains of computer vision, typically involves an image annotation tool platform. Image processing is yet another task and is an essential component as it lays the foundation of computer vision.

A Brief Overview of Image Processing

Image processing is the act of using a computer to convert a real-world scene into a digital image and performing various operations to derive valuable data from it. These operations may include enhancing the image’s quality, analyzing its colors, and compressing its size. Think of it as the technique that computers use to see images the same way human eyes do. It’s an essential component of computer vision mainly because it turns images into insightful data.

What is AI Image Processing?

AI image processing follows the same concept as image processing. It aims to extract valuable data from digital images by performing various operations, which you’ll come to know in the succeeding sections. The main difference between the two is that AI image processing utilizes AI based technologies to accelerate the task, allowing you to process countless pictures more quickly. Since AI projects often require large amounts of data, such technology is an incredibly valuable asset.

But much like working with different digital technologies, one must have prior knowledge of image processing to utilize the technology properly. That’s why you’re here—to understand how AI image processing works.

Read on as this article tackles the basics of AI image processing, starting with its components.

AI Image Processing: Components

The main objective of AI image processing is to derive large amounts of data from a dataset consisting of photos. To achieve this, various tasks are performed, as listed below:

These techniques are what constitute an AI image processing project. When performing image processing, an AI tool utilizes one or more of these techniques, especially during the key stages.

AI Image Processing: Fundamental Stages

Just like any other technique, AI image processing consists of numerous steps or stages. Each stage is essential and will determine the success of the AI technology’s implementation.

AI image processing is comprised of ten fundamental stages, as explained below:

Keep in mind that these ten fundamental stages apply both to AI image processing and regular image processing, though there may be slight differences. However, if you wish to utilize this technology for your AI or machine learning projects, having a full understanding of these stages is necessary.

Closing Thoughts

Implementing image processing for your AI projects is challenging enough as it is. Naturally, the level of difficulty would go higher if you wish to incorporate AI technology into it as well. That’s why you should at least have a basic understanding of the task at hand, and this brief guide is the perfect way to gain that understanding.

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