Posts Tagged ‘algorithm’

An Algorithm That Can Distinguish Beautiful Portraits From Ugly Ones

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Could machines be trained to tell the difference between a beautiful portrait photo and a not-so-pleasing one? Beauty is pretty subjective, but scientists are trying to boil down the common properties of beautiful digital portrait photos so that a computer can be trained to spot them. Along the way, they’re revealing interesting new things about what people look for in portraits.
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A Movie That Finally Gets Image Enhancing Right

Impossible image enhancing is a well-known cliche in movies and TV shows. When law enforcement computer whizzes get their hands on a photograph or video still frame, anything seems to be possible.

It seems a movie finally got image enhancing right. The 36-second clip above is from the 2014 movie Algorithm, a movie that’s (fittingly) about a freelance computer hacker who discovers a shady government program.
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Adobe Shows Off Features for Changing Time of Day Lighting and Removing Fog

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At the Adobe MAX 2014 conference this past week, Adobe showed off some of the crazy technology current brewing in the company’s labs. Two of them offer a glimpse at what may soon be available to photographers in Photoshop: changing the time of day (i.e. lighting) in photographs with a simple slider and removing haze from a scene automatically.
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This Algorithm Changes the Time of Day, Season and Weather in Your Photos

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Researchers at Brown University have created an intriguing little algorithm that allows you to alter the weather, time of day and even season in your outdoor photographs.

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MIT Algorithm Tries to Predict How Many Likes Your Photo Will Get Per Day

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A photographer’s primary concern when taking a photo might not be “I wonder how many likes this will get,” but being able to gauge popularity could still come in handy when you’re trying to decide which photos to upload to your favorite sharing site.

Enter MIT PhD candidate Aditya Khosla and his new algorithm that does just that: tells you how popular your photos will be before you even upload them. Read more…

These Photos Contain Exactly One Pixel of Each of the 16 Million RGB Colors

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For you and me, RGB color spaces may just be an obscure but important mechanism towards achieving properly color-balanced photos. For a certain group of image nerds, however, it’s the whole enchilada. Read more…

New Algorithm Can Pick Out Photo Fakes by Looking at Shadows

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As post-production software continues to become more and more powerful, researchers are doing their best to keep up by developing new methods of spotting digital photo fakes. In the past, we’ve seen that noise patterns and even Twitter trends can help spot fakes, but a new method out of UC Berkeley is taking a look at something else entirely: the shadows. Read more…

Photo Series Uses Face Detection to Spot Faces in Clouds

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As humans, it’s only natural to take a look at the sky and perceive to see an object, a face, an animal. Computers, too, are capable of this perception. However, they may be capable of finding things that the human eye can’t, or just might not notice.

In a project called “Cloud Face“, Seoul, South Korea-based Shin Seung Back and Kim Yong Hun of aptly-named ‘Shinseungback Kimyonghun‘ have pointed cameras up at the sky and let complex algorithms detect faces in the passing clouds.
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Clipping Magic Helps You Easily Remove Picture Backgrounds

Clipping Magic Dog

Here’s a tool you may not have heard about but may useful at some time in the future. It’s called Clipping Magic, and it’s designed to remove backgrounds from user-uploaded pictures.

The concept is rather simple, you upload an image, mark the areas in the background you don’t want in red, and mark the areas in the foreground you do want in green. The website’s algorithm takes over and (hopefully) produces a background-free picture. Sounds simple, doesn’t it? But how does it fare when used for an image with a background you actually want to remove?
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UT Austin Launches Free Enlarging and Denoising Web App

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Movies and TV shows have a knack for making it seem as if you could take a horrible, low-resolution image and turn it into a high-res masterpiece — the term “enhance” has become almost comical. And for every mention of magical television enhancement, there’s mention of some special algorithm at work that makes it happen.

Well, the University of Texas at Austin’s RCM Tools web app isn’t quite up to cable drama standards, but it’s their attempt to apply special algorithms to image enhancement and denoising, and it’s free for photographers to experiment with. Read more…