Heape said, 'Imagine a world from the future where you'd say, "I want the picture to look like this National Geographic scene," and the AI engine would say "okay, I'm going to adjust the colors and the texture and the white balance and everything to look like and feel like this image you just showed me." The fourth stage, which Heape thinks the industry is about three to five years from reaching, is when AI will process an entire image. Smartphones from other companies, such as Samsung, have eclipsed 100MP. The iPhone 14 Pro includes a new 48MP main camera, the highest-resolution and largest sensor Apple has used in an iPhone. This stage of AI also comprises advanced AF/AE technologies such as face and eye detection. Phones can now detect if a horizon is crooked or if a specific face in a photo requires exposure adjustments. This isn't just seeing a specific subject in the frame, but rather being able to identify nearly everything in a scene and adjust them accordingly. The Qualcomm executive thinks that modern smartphone AI technology is in the third stage now, which is advanced segment recognition. The second stage involves AI controlling features such as autofocus, automatic white balance, and automatic exposure. The first is basic scene recognition, such as identifying a specific subject in the image frame. Heape believes there are four stages of AI in photography. Based on how your smartphone perceives parts of the image, it can apply fine-tuned image processing.
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AI is used for different scene detection tasks and can help your smartphone differentiate between a subject and the background, between skin and hair, and other image aspects. Machine learning has helped improve noise reduction, video judder reduction, object removal during editing and much more. Heape discussed how AI is used now in cameras.
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But how much further can AI take smartphone camera technology? Android Authority spoke with Qualcomm's vice president of product management, Judd Heape, and the executive had a lot to say about AI, including a claim that AI will someday help smartphones surpass dedicated camera systems. Broadly speaking, computational photography is a large part of the overall mobile photography experience. From AI-powered software to AI-powered autofocus, companies across the board are incorporating AI technology to improve image editing and camera performance to help photographers capture better photos.ĪI is heavily incorporated into the latest smartphones to help get the most from relatively small sensors and lenses. Artificial intelligence is becoming more prevalent in the photography industry.
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