Boulogne-Billancourt, FR         Website

For 15 years, DxO Labs has developed some of the world’s most advanced image processing technologies, which have enabled over 400 million devices to capture the highest quality images achievable.

We develop image processing software for Mac and PC, acclaimed by top photographers the world over and regularly receiving international awards (TIPA, EISA):

  • DxO PhotoLab, successor to DxO OpticsPro, the gold standard in RAW photo editing with best-in-class denoising and optical defects correction, now includes local adjustments and the intuitive U Point masking technology.
  • DxO FilmPack allows to faithfully reproduce the style, colors, and grain of many legendary silver halide films.
  • DxO ViewPoint, the most advanced tool for correcting perspective and distortions, compensates all flaws of wide-angle lenses and is a true software alternative to expensive tilt-and-shift lenses.
  • Nik Collection by DxO, a series of 7 renowned creative plugins for Photoshop and Lightroom, providing filters, renderings and photography retouching tools to create stunning images. These plugins also leverage the intuitive U Point technology.
  • All these software solutions are based on our unique know-how in the fields of measuring and calibrating photographic gear, scientific analysis of RAW images, and sophisticated image processing algorithms. We acquired this know-how during 15 years of close collaboration with leading public research laboratories.

    Image Science Team

    DxO’s Image Science Team is the creator of the processing engine at the heart of all our software. Since our creation in 2003, this team has been continuously hosting PhD students. They work together with researchers and engineers to conceive state-of-the-art algorithms and stunning new features. Their creativity allows DxO to remain on top of a very competitive market. Recent achievements include our unrivaled PRIME raw denoising, innovative multi-image processing for the DxO ONE and automatic perspective correction based on AI and image analysis.

    “Image quality” traditionally refers to accurately reproducing the scene. As the industry gets better and better at that, our next goal is to enhance the image beyond fidelity, targeting the photographer’s biased perception of the scene and the subject. During the RealVision project, we aim at exploring this for the problem of tone mapping, taking advantage of recent advances in computer vision and machine learning.

    16 JUNE 2024