Increase viewability without increasing
Compatible with all popular projector engines
One of the biggest barriers of wide-scale OEM adoption of pico projectors in mobile devices is said to be low lumen output. However, as many industry experts (including QuickLogic) have long-touted, lumens themselves are not a sole indicator of the projected viewability. The following video demonstrates this:
QuickLogic’s Visual Enhancement Engine technology addresses the viewability concerns of OEMs. VEE optimizes the viewing experience for viewing conditions: that is, source data and ambient light conditions are examined in real-time and optimized for the best viewing experience, allowing the pico projector output to be much more viewable without increases in native lumen output. We call this ‘effective lumen’ improvement.’ VEE’s ability to increase effective lumens is done without an increase to the native lumen output of the projector light source. While increasing the native lumen output can lead to increased viewability, it will also severely reduce battery life in already power-starved devices.
VEE HD+ is based on a model of human perception, which is far beyond other, more primitive methods of visual enhancement, which are based on machine models of perception. VEE’s human perception model insures that viewing experience is always most pleasing to the viewer. This stands in contrast to alternative technologies which often sacrifice details in certain areas of the display to increase viewability in other areas, with no concern as to what the content of those particular areas is.
To accomplish this, VEE examines performs a pixel-by-pixel, frame-by-frame analysis of projected content, and using the human-eyesight approach, determines the ideal tone curve for each pixel. Rather than legacy global-based improvement technologies, VEE HD+ examines the pixel’s data versus data of neighboring pixels, a smaller area within the entire image, and then the entire image, insuring that local details are always preserved, unlike competing technologies. This insures that the viewer experiences the content in a manner most typical of how the eye would expect to see it, rather than how a machine would best want to interpret the video data.