Adobe announces huge update to its Lightroom Ecosystem

Home Design Adobe announces huge update to its Lightroom Ecosystem

Adobe announces huge update to its Lightroom Ecosystem

Adobe announces huge update to its Lightroom Ecosystem

AoiroStudioFeb 20, 2019

It’s been a longtime coming and it’s nice to see an from Lightroom, they have introduced huge updates including the all-new Sensei-powered feature called Enhance Details. Combining the power of machine learning and computational photograph that takes a brand new approach to RAW photos. This feature is now available in Adobe Camera Raw, Lightroom Classic CC, and Lightroom CC for Mac and Windows. There are additional features included in this update including the targeted adjustment tool, histogram clipping indicators and more.

In their words

The new Enhance Details algorithm enables you to increase the resolution of both Bayer and X-Trans based photos by up to 30%, improving fine detail rendering and the reproduction of fine colors.

Adobe announces huge update to its Lightroom EcosystemEnhance Details

The human eye can distinguish millions of colors. Most of us are trichromats, with different types of cones—color-sensitive photoreceptor cells—present on our retinas that can perceive red, green, and blue colors. Each type of cone allows the eye to distinguish approximately 100 shades of color and our visual system then mixes the signals together to see those millions of colors.

Adobe announces huge update to its Lightroom EcosystemEnhance Details

Additional new features

  • HDR, Pano and HDR Pano Merge tools, the Targeted Adjustment Tool and histogram clipping indicators are coming to Lightroom CC for Mac and Windows.
  • You can now create ad-hoc photo shares in Lightroom CC for iOS, which was previously only available on Android.
  • Lightroom Classic CC also received improved tether performance stability with Nikon cameras.

Adobe announces huge update to its Lightroom EcosystemHDR, Pano and HDR Pano Merge tools, the Targeted Adjustment Tool

Advanced demosaicing methods can handle these complicated areas, but they can be very expensive computationally. Myriad mathematical calculations are required to perform the interpolation necessary to build an image. This takes time, even on the most powerful computer hardware.

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