![]() ![]() These automated corrections, based on mathematical models of the physical characteristics of camera bodies and lenses as well as on the metadata ( EXIF) captured with each image, meant no human variables were involved. When DO Labs released DxO Optics Pro in 2004, which became DxO PhotoLab in 2017, it was the first product on the market to offer a way to automatically correct photographic issues caused by camera-body electronics and lens optics without human intervention. Originally organized as a business unit of Vision IQ, a French software company founded in 1995 that specialized in computer vision, DO Labs was spun off to become an independent company, after raising 7.3 million Euros of financing in venture capital. The company's headquarters are in Paris, France. It was founded in 2003 by Jérôme Ménière, former CEO of Vision-IQ. Last edited by billslowski002 on Wed 3:36 am, edited 1 time in total.DxO Labs (formerly DO Labs) is a privately owned photography software company. ![]() ![]() To show Download Link Register or Login Links are Interchangeable - No Password - Single Extraction Rebalance landscape photos by automatically straightening a slanted horizon line. With DxO's Optics Module database, the only one of its kind in the world, DxO ViewPoint can correct any type of distortion, including barrel, pincushion, and even fisheye effects. Manually use anchor points or the software's automatic feature to correct skewed perspectives in wide-angle photos, from the simplest to the most complex.įor natural-looking shapes, automatically correct the volume deformation of faces, bodies, and objects at the edges photos taken with a wide-angle lens. As both a standalone application and as a plugin, it offers simple visual tools for making spectacular corrections, along with advanced controls for unrivaled precision. Free Download DxO ViewPoint 4.10.0.250 Multilingual Free Download | macOS | 723 mbĭxO ViewPoint is the indispensable companion to your wide-angle lens, correcting perspectives and easily restoring the natural shapes of the subjects located along image edges. ![]()
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