Exploration of technology drives us to innovation.
For editing photos, one of the main concerns is creating filters. We develop algorithms that take standard filtering techniques to a new level.
Our R&D focuses on photo enhancement and restoration: adjusting colors, contrast, white balance, sharpness, noise, removing elements, etc.
Image transformation represents arithmetic and complex mathematical operations that help us convert images from one representation to another. For example, resizing and cropping to fit the design of an app, or creating visual transformation effects such as fisheye.
By sensing the boundaries of objects in photos we can edit the layers separately. This way sharpening, brightening, contrast and saturation adjustments, and adding filters and textures can be applied separately to each of the layers.
We make a composite photo by cutting, gluing, rearranging and overlapping two or more photos into a new image. Our R&D in photomontage also includes removing the background from images, rotating, resizing, and layering images on top of other images.
We research biometric software that uses algorithms to identify or verify a person from a digital image or a video frame comparing this image with the visual data stored in a database.
We are looking to develop algorithms that can analyze emotions, gender, race and age. Analysis of the facial expression may lead to understanding the mood, the emotional state and intentions of the analyzed person in a photo or a video frame.
For us, experimentation is a way of life. We want to do new things. To invent. Naturally, we use our inventions in our own projects, but we also share them with others. Many of our experiments and solutions are available through open source licenses, and can be found on our Github , Dribbble and Behance pages.Contact us