We apply computational methods to solve the fundamental limitations of imaging hardware, such as sensor size, pixel density, or optical performance deficiencies. Our solutions enable both to introduce of new capabilities such as lossless zoom in smartphones and to improve existing use cases such as achieving better picture quality in near-eye displays.
Two main areas of our focus are:
- Super-Resolution: image and video capture with resolution and SNR beyond the sensor pixel count, density, and size.
- Digital Lens: dynamic optical aberrations correction, enabling high apparent resolution, no aberrations, and large eye box in VR/AR head-mounted displays. The technology overcomes fundamental constraints in HMD optical system design which are the overall system size and dynamic position of the eye pupil.
Our technologies are currently used in:
- Smartphones: lossless zoom
- VR/AR displays: high picture quality and natural visual experience for the displays; high-resolution for see-through cameras
- Medical cameras: doctors see more with the smallest cameras
- Desktop image processing applications
and soon will be used in:
- Laptops: high picture quality with a smaller camera in a thin bezel
- Surveillance, security, and automotive cameras: robust object recognition through higher-quality input image data
- Drones, robots, and more
We utilize the advanced computational capabilities of modern chipsets, such as VLIW cores and NN accelerators to achieve ultra-high processing speed and low power consumption while keeping the best-in-class performance in terms of quality.
Having to achieve high resolution, wide field of view, and large eye-box, the VR/AR head-mounted display makers face the challenges impossible to overcome by hardware design alone. Even the latest and greatest head-mounted displays retain the common flaws spoiling user experience: blur and color fringing outside of the small “sweet spot,” picture quality degradation and […]
The image quality of endoscopy cameras is fundamentally limited by the constrained camera size and the lighting is limited by the heat emission at the distal tip. This leads to the tradeoff between very low resolution with acceptably low noise and higher (but still low) resolution with a stronger noise level. Almalence Super-Resolution is a […]
High-quality mobile camera zoom is one of the most challenging features to achieve due to hardware limitations, such as camera module size and barely possible optical zoom implementation. Almalence has successfully applied its SuperResolution technology to achieve best-in-the-class software enhancement of smartphone zoom quality. Devices powered by Almalence SuperResolution Zoom have been constantly getting the […]
The geometry-deforming effect inherent to head-mounted display optics is removed using advanced computational imaging along with custom optical profiling tools.
Almalence announces a line of its Human Eye Simulators with a variety of camera designs to make an ideal fit for specific optical measurement requirements.
Almalence introduces the next generation of its Human Eye Simulator, now making the simulator look exactly like a human eye by completely eliminating the unwanted pupil reflections in the IR spectrum. A closer look at the evolution of how Almalence Human Eye Simulator looked like to the eye trackers in IR spectrum: First generation: In […]
Achieving high picture quality, optical fidelity, and natural visual experience is a challenge in near-eye display design. Learn: Why the conventional approaches do not work for near-eye display optical design; What specific methods exist, and why they are still fundamentally limited; How the computational optical correction techniques allow overcoming those limits. Read a comprehensive article […]
Almalence SuperResolution Zoom was selected to give the flagship Qualcomm device, the Smartphone for Snapdragon Insiders, the best possible camera image quality under zoom conditions.