dxo photolab vs lightroom raw conversion quality

Its laboratories have measured the amount of distortion, vignetting, chromatic aberrations, loss of sharpness, and digital noise present in RAW images for each equipment combination and every situation with an extraordinary level of precision. Since its founding in 2003, DxO has earned an international reputation after measuring and calibrating hundreds of cameras and thousands of lenses using a protocol that is more extensive than any other in the industry. The computer is allowed to determine the values of millions of parameters within the network, hence the term automatic learning, based on a vast database of carefully chosen input and output example images.ĭxO DeepPRIME is Trained Using a One-of-a-kind Database of Calibration Images “It is fascinating to see that AI is now even better at the job!”ĭxO DeepPRIME: State-of-the-art Neural NetworksĭxO DeepPRIME AI belongs to a class of neural networks call convolutional neural networks, the structure of which is directly inspired by neuroscientific research on the human brain.

“We’ve always thought that nothing could extract pertinent information from a noisy image better than the human brain,” explained Wolf Hauser, Scientific Director at DxO. The resulting photo quality is spectacular, especially for photos taken in low light conditions, with small pixels, or with early-generation cameras. Trained with deep learning technology using the millions of photos DxO’s laboratories have analysed for more than 15 years, DxO DeepPRIME employs cutting-edge artificial intelligence and drastically improves digital noise reduction while also delivering more effective demosaicing.

DxO, a software developer that has developed a reputation in the photography industry and one of the global leaders in image processing technology, is announcing the immediate release of DxO DeepPRIME, an artificial intelligence technology dedicated to editing photos in RAW format.

Dxo photolab vs lightroom raw conversion quality