NeoMedia Technologies, Inc (NEOM)

[hightechjunkie]

Post processing can be a number of things but the bottom line is mathematical processes being applied to the data captured. There is a litany of things that fall into the category of post processing but the major players are anti-aliasing (making sure that the dots captured are the dots that are supposed to be there) sharpness (making sure the lines are properly defined) and contrast (making sure that the measurement of light and exposure are consistent throughout the image) If any one of those things fall short, the interpretation of the data can be flawed. The higher the resolution of the camera, the smaller the potential for these things to be wrong. Post processing makes up for what the camera cannot do. If that process takes too long then the user experience is affected. There is a careful mix of pre and post processing decisions that have to be made by hardware and software to get the right mix. Intelligence in the handset make this possible. Logo recognition can be analytical or comparative depending on the initial point of reference. If there is something existing to compare it to, then back end processing is the norm. If there isn't than the analytical would be the preferred method of interpretation. Both work, but one works faster. You hear front end and back end processing mentioned and you can derive from those two instances which is appropriate. Hope that helps. What you asked has a large amount of room for interpretation so I focused on a very small part of it. I hope I didn't miss the spot.

htj