The shortfall in previous upscaling efforts was partly due to the limitation of available information. Eric Yang, CEO Topaz Labs Engaging Imagination That’s what allows us to offer such powerful image upscaling.” Through training, the neural network learns how to fill in missing information and add detail back into an image. “The AI approach is fundamentally different. Truly Intelligent Upscaling with Crisp and Clear Results Even for casual photographers, often shooting and sharing via smartphones, it can be a challenge to get a satisfactory print of a photograph beyond the 5x7 range. And, of course, images are subject to compression for storage or for sharing that can alter the resolution enough to destroy usability for larger-scale needs. Similarly, if a professional is given images to edit that originated from a lower-resolution source, such as scans, drone footage, video frame captures, stock photography, etc, their hands are tied by the maximum available quality. In practice, that means even a professional photographer’s work from a decade ago will have a significantly lower resolution than shots they take today. Throughout the history of digital photography, it’s been a technological race to the highest possible resolution. Compression, Decompression, and Resolution Woes Gigapixel AI is capable of adding 3600% more pixels to deliver astounding clarity and add detail on the deepest zooms. Thanks to advancements in machine learning, Topaz Labs has been able to harness the power of artificial intelligence to more elegantly overcome this hurdle. Trying to stretch those pixels into a larger format causes clarity and quality to suffer immediately. Once a photo is taken, the size and number of pixels are set in stone. Photo upscaling has long been limited by the capabilities of existing technology. Intel® Distribution of OpenVINO™ toolkit optimization delivers high-quality image upscaling at higher speeds with Intel® Core™ processors.

Topaz upscaling