Camerge is an algorithm that uses modern CCD/CMOS cameras to their full potential, both cheap camera-phones and high-end professional cameras, adding significant value.
One of the most difficult issues with photography, particularly for the amateur, is the combination of lighting, aperture, and exposure time. Camerge solves this problem computationally, and can be applied automatically within cameras.
http://www.camerge.com displays 7 images of a complex lighting situation (a building lit at night) automatically taken at different exposure times. The Camerge algorithm is then applied, providing the only image that represents the building as a human sees it (see clock vs. roofline).

Source Images

Camerge Image

Notice in particular the elegant detail inside the doorway and the illumination of the lamp - no single source image could possibly show this, nor could both lit and unlit windows show detail, or the clock face and facade.

CCTV Enhancement Demonstration

Often variations in natural lighting cause an image to contain obscured regions. This dark alley is only "dark" because of the variable ambient lighting conditions. A CCD-based CCTV camera with onboard Camerge processing solves this issue.



Existing image enhancement methods based on "High Dynamic Range" (HDR) imaging (below) produce a technically correct, but both computationally slow and less useful image

The Camerge algorithm shows up every detail of the alley instantly, allowing instant recognition of any issue.

The Camerge algorithm is orders of magnitude faster than conventional HDR algorithms, and yet simeltaneously performs dynamic range compression in line with a human eye response model, colour correction, and camera blur and shake reduction.
For further information, contact slgh2 at cam.ac.uk