Not satisfied with the pictures you get with your 35-mm camera? Now there is a software program that lets you fix the pictures that don't capture all the visual quality and color intensity that your eyes see. The software is based on Retinax Image Processing—technology originally developed for remote sensing of the Earth by researchers at NASA's Langley Research Center and at Science and Technology Corp. "Current technology like that found in Adobe's PhotoShop software makes adjustments in gain, contrast, and other variables," says Glenn Woodell, an engineering technician and co-inventor of image processing software. "The difference with ours is that we not only look at the pixel, we also look at pixels around a given pixel." Woodell also says that colors are context dependent. "A given color, say green, surrounded by blue will look different than that same green when it is surrounded by red," he says. The software automatically makes corrections, but also allows manipulation of the image by the end user. The inventors—Woodell, Dan Jobson, and Zia ur Rahman—believe that existing image enhancement tools are either too tedious or insufficiently powerful compared to theirs. The software is currently licensed to TruView Imaging Co. "We think there are applications for the software in medical imaging, forensics, security, recognizance, mining, assembly, and many other industrial applications," says Rahman, who works for TruView. The company will make a software product available for home, professional, and industrial use by the end of the year. For more information, call (757) 221-3479 or go to www.dragon.larc.nasa.gov/retinex.
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.