How AI is changing the concept of photography in 2024

  We are living in the advanced age of technology where our lives are rechristened by AI technology. Now, our smartphones are equipped with AI-technology that helps you to take bigger pictures by incorporating machine learning, color enhancements, and other digital solutions. So, you can enhance your images without taking the help of Photoshop. AI is bridging the gap between what you see and what your camera captures. Recently, scientists have invented Ai-based Photolemur that can edit your best version of capture without any manual editing. In this blog, you will see similar kinds of tools and techniques that are enhancing the skillset of photography in 2024.

Changing the concept of photography

Microsoft’s Drawing Bot (AI-tool) has changed the concept of photography and it can make a picture based on your descriptions. It’s an AI-bot that transforms the artificial imagination into real photography. Interior designers can have an idea of the final outcome of the picture by giving detailed descriptions. Google Clips bring the revolution in photography where its people-detection-algorithm captures the ongoing moments in the room. In this AI technology, it scans the faces and ongoing activity and predicts the images of authentic moments. You can connect your smartphone with Google Clips through Bluetooth or Wi-Fi, and it takes all the moments and activity. The Apple iPhone 11 pro has introduced its AI camera that will give a refined version of a picture after analyzing the eight photos taken by its 3 cameras. This gives you the extreme excitement to get a refined version of images with the freedom of editing and manual setups.

AI: Changing the concept of photography

Storing and Managing Photos

Photo editors have a hectic job of analyzing terabytes of photos and they often face difficulties to reach a desired photo. Now they can utilize the Google –Cloud-Vision-API that allows them to process and store images based on their landmarks, text, faces, and other metadata. Recently, Google has tied up with The New York Times to analyze its seven million photo metadata. This will give the wider prospect to predict the current events by analyzing the photo archive. It can be a big source of storytelling by accommodating the facts, events, and piece-by-piece information. 

Enhancing the Efficiency of Storing and Managing Photos

 Processing and post-production

Processing and post-production are real issues for many photographers. Apple has introduced High-Efficiency-Image-Format that can allow enhanced image quality with volumes lesser than the JPEG. You can enjoy this facility by upgrading it to iOS 11 or its advanced versions. Now, you can store more images without compromising the quality. Luminar 4 enhances the face color and skin tones by processing the RAW files. Recently, Nvidia claims that it can design images of unprecedented quality by incorporating generator and discriminator parts of the machine-learning-algorithm GAN (Generative Adversarial Network). GAN has created fake images of celebrities by processing a large scope of imagery like facial expression, emotion, and age of a person.

Processing and Post-production of Photos 

AI has transformed the whole aspect of photography. Now, you can prolong the stories that had happened several years ago. You can discover your forgotten photo from the archive and share it with your friends. The extreme virtualization of AI has the biggest challenges of creators because it has assimilated the thin line of difference between real and virtual images. So, AI-enabled tools and techniques can focus on enhancing the real images in contrast with painstaking steps in creating virtual images.