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DxO FilmPack - Magic of analog in the age of digital - 0 views

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    Rediscover the magic of analog in the age of digital DxO FilmPack traces the history of analog photography through 84 high-fidelity film renderings. DxO FilmPack, a direct product of DxO's expertise as a pioneer of optical corrections, demosaicing, and denoising, faithfully reproduces the colors and grains of analog films thanks to an exclusive calibration process developed in its laboratories.
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U Point Technology DxO PhotoLab - 0 views

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    When editing or applying a selective adjustment to a digital photo, outlining the area you want to edit (applying a mask) can be a challenge. Typically, you have to use selection tools, magic wands, and even your best drawing skills. These methods are labor-intensive and often imprecise. In the early 2000s, Nils Kokemohr (founder and former CTO of Nik Software) and his team of engineers invented an effective and revolutionary technology designed to apply masks and make selections with incredible precision. Dreamed of by countless photographers, this method was called U Point™ technology. First a part of the Nik Collection, this technology has since received multiple awards and is widely acclaimed. In 2017, DxO purchased the Nik Collection from Google and modernized U Point™ technology so it could support the RAW files used in DxO PhotoLab, the company's advanced photo editing solution. "U Point™"-i.e. "you point"-lets you identify a reference point, called a Control Point or a Control Line, in the most natural way possible by simply clicking on it with your mouse. Next, users can fine-tune the radius of the editing area around the Control Point as well as the direction, which alters the width and angle of the region affected by a Control Line. Based on the selected reference point, the technology uses the U Point™ algorithm to understand the pixel's characteristics in terms of color channel value (red, green, and blue), hue, saturation, and luminance. In addition, U Point™ technology also analyzes the texture of the surrounding area in the photo to distinguish between similar pixels based on their color and texture.
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