Photo Geek Weekly Episode 33 – Intelligent Noise Removal and Cameras that Know Who You Are

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Photo Geek Weekly
Photo Geek Weekly
Photo Geek Weekly Episode 33 - Intelligent Noise Removal and Cameras that Know Who You Are
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On this episode of Photo Geek Weekly, Don Komarechka is joined by Bruce Clarke to discuss the recent advancements in computational photography and why we should keep a close eye on it, interesting investments from Leica in the same area, strange patents from Nikon and an unfortunate mishap involving the Kodak brand with bitcoin mining – all this with some great banter and picks of the week!

Story 1: NVIDIA Unveils AI That Removes Noise, Grain, and Even Watermarks (via PetaPixel)
Related: Researchers use AI to brighten ultra-low light images without adding noise (via DPReview)

Story 2: Leica participates in $121M funding round for computational photography company Light (via DPReview)

Story 3: Nikon Working on Finger Sensors That Can Read Your Emotions (via PetaPixel)

Story 4: Kodak distances itself from failed Bitcoin scheme (via DPReview)

Picks of the Week:

Don: StackShot from Cognisys, a programmable automatic focusing rail.

Bruce: MagBox, MagShoe, MagRing โ€” Revolutionary New Softbox System (Kickstarter)

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About Author

Don Komarechka is the host of Photo Geek Weekly and Inside the Lens. From auroras to pollen, insects to infrared, much of Donโ€™s photographic adventures reveal a deeper understanding of how the universe works. Exploring the world that we cannot see with our own eyes has been a common thread in Donโ€™s career as a professional photographer.

3 Comments

  1. Hi Don,

    I love your podcasts.

    A tiny correction if I may do so. You are talking about the AI imaging apps where a Koala, not Koala Bear as you state in your discussion, was re created out of a noisy image.

    Koalas are not related to bears at all, the closest livin relative is the wombat. It might resemble a bear but Australia do not have any bears as it evolved separately from the other continents.

    Kindest regards,
    Oliver

    Spohr Photography

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