Our latest report on Photo Technology R&D

• Knowledge we acquire

  Exploration of technology drives us to innovation.

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  • Photo Filters

    For editing photos, one of the main concerns is creating filters. We develop algorithms that take standard filtering techniques to a new level.

  • Image Manipulation

    Our R&D focuses on photo enhancement and restoration: adjusting colors, contrast, white balance, sharpness, noise, removing elements, etc.

  • Image Transformation

    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.

  • Intelligent Masking

    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.

  • Photomontage

    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.

  • Face Recognition

    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.

  • Face Analysis

    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.