This week, the photo editing software Adobe Photoshop turned 25 years old. The program is an industry juggernaut — so famous that the word “Photoshop” has come to be synonymous with image manipulation.
Photoshop is one of the most recognized software brands in the world with tens of millions of users, and is the go-to application for digital image manipulation across all media: from print, to film, to the Web. Photoshop features — such as Layers, The Healing Brush, Content Aware Fill and Camera Raw — have empowered creatives to produce their best work. Photoshop technology is also at the heart of Adobe Lightroom, essential software for both professional and amateur photographers. And to meet the needs of today’s visual artists, Photoshop and Lightroom mobile apps enable creatives to work on image files seamlessly across desktop computers, tablets and smartphones.
An interesting and practical example of computational photography from CMU. An example of projector/cameras (PROCAM) system
A camera senses oncoming cars, falling precipitation and other objects of interest, such as road signs. The one million light beams can then be adjusted accordingly, some dimmed to spare the eyes of oncoming drivers, while others might be brightened to highlight street signs or the traffic lane. The changes in overall illumination are minor, however, and generally not noticeable by the driver.
The BigShot, still in testing, is a super-simple digicam from the Computer Vision Lab at Columbia University. It comes in parts, ready to be assembled (by kids, but I can’t wait to get my hands on one), and teaches you along the way how these things work. It’s not quite the transparent view you get from making an old analog camera, where you can see how everything works, but it’s as close as you can get from a machine that uses circuit boards.
That’s not true. In most cameras, lenses still form the basic image. Computers have only a toehold, controlling megapixel detectors and features like the shutter. But in research labs, the new discipline of computational photography is gaining ground, taking over jobs that were once the province of lenses.
MIT Media Lab researchers have created a new imaging system that can acquire visual data at a rate of one trillion frames per second. That’s fast enough to produce a slow-motion video of light traveling through objects. Video: Melanie Gonick.