photo:ai_photography
Table of Contents
AI in photography
see also:
Introduction
- AI is increasingly being used within cameras as well as within image editing software
- AI will also drive photorealistic CGI “The goal is to have computer generated images replace 90% of digital photography within the next 5 years,” EyeKeyAh founder and CEO Ludvig Johansson 2015
AI within cameras
scene detection and exposure calculation
- cameras have been using scene comparison with a massive database of scene images to give us “Evaluative Metering” for over a decade
improved AF locking and tracking
- in 2018, AI became increasingly utilised to improve AF detection and tracking, examples include:
- Sony's Real AF Eye detection tracking and animal eye tracking
- Olympus OMD E-M1X pro sports camera AF detection and tracking of various subjects such as trains, motorcycles, etc
AI noise reduction
- AI has been shown to be able to massively improve image noise reduction with better preservation of image details, it is still to be utilised in cameras
AI background blurring
- smartphone manufacturers in 2018 introduced new phone with the ability to selectively increase the blurring of backgrounds to isolate the subject better
AI in image editing software
- there are multiple uses for this included detection of edges in masking, “intelligent” removal of unwanted objects in scenes, etc
photo/ai_photography.txt · Last modified: 2019/05/24 10:30 by gary1