The working principle of modern cameras has been realized through the deep learning of neural networks, so that photographers have unconsciously used AI intelligence to create when using cameras. Although these functions have been de-"AI" in camera terminology, in reality, the face recognition function of cameras and camcorders, the eye focus function, etc., are all technical functions that can only be achieved through a large amount of AI deep learning. For example, some mirrorless cameras equipped with AI chips can capture and track the subject with high accuracy when shooting portraits, even when the person is in a complex environment or when the face is occluded.
Cameras such as Canon's EOS R6 Markii and Sony Alpha 7CR can even recognize subjects such as birds, insects, cars, trains, and airplanes, and can track and focus multiple objects at the same time. In addition, functions such as compensation, noise reduction, and mosaicing are not a problem. These are actually gifts that AI models bring to photographers, but some photographers are still worried that AI is ruining photography.
In addition to the improvement of AI technology in hardware, camera manufacturers are also launching AI software tools based on neural network algorithms. For example, Canon's "RAW Developing" software plug-in, Digital Photo Professional, optimizes RAW images taken with compatible cameras and lenses based on data obtained from deep learning. Not only can it cope with shooting problems, but it can also optimize images for diffraction, highlight spill, color vignetting, and more.
Photography AI software can also perform operations similar to TOPAZ software, support JPEG and TIFF files, and can expand the length and width by 2 times respectively, and finally get a 4 times pixel **. Compared to common interpolation upscaling methods, this software can recover more image details and get a finer picture. Compared to similar features on Adobe Lightroom CameraRaw, there are no other optimizations (noise reduction, lens optimization, demosaicing) and resolution upscaling.
In fact, photography has long been integrated with AI technology, but it is relatively low-key. These chip-based enhancements are the result of a large amount of technology accumulation. At the same time, AIGC artists are still exploring, and AI image generation is just a fragment of these AIGC. In the face of AIGC's workflow, the iteration of various AI companies is very fast, and now it needs to be completed in multiple steps or there are still control defects, which may be solved after the software upgrade. This upgrade is getting faster and faster, and it is basically measured in weeks.
In general, the application of AI technology in the field of photography has become a trend, providing photographers with more creative possibilities and convenience. Although the application of AI technology may raise some concerns, it also brings more creative inspiration and technical support to photography. With the continuous development of technology, the combination of AI and photography will become the new normal in the field of photography, bringing more surprises and fun to photographers and photography enthusiasts.