Catch up on stories from the past week (and beyond) at the Slashdot story archive

 



Forgot your password?
typodupeerror

Slashdot videos: Now with more Slashdot!

  • View

  • Discuss

  • Share

We've improved Slashdot's video section; now you can view our video interviews, product close-ups and site visits with all the usual Slashdot options to comment, share, etc. No more walled garden! It's a work in progress -- we hope you'll check it out (Learn more about the recent updates).

×

+ - Algorithm Turns Lo-Res Datasets Into Hi-Res Output->

Submitted by azoblue
azoblue (842509) writes "Using a mathematical concept called sparsity, the compressed-sensing algorithm takes lo-res files and transforms them into sharp images. Compressed sensing works something like this: You’ve got a picture — of a kidney, of the president, doesn’t matter. The picture is made of 1 million pixels. In traditional imaging, that’s a million measurements you have to make. In compressed sensing, you measure only a small fraction — say, 100,000 pixels randomly selected from various parts of the image. From that starting point there is a gigantic, effectively infinite number of ways the remaining 900,000 pixels could be filled in."
Link to Original Source
This discussion was created for logged-in users only, but now has been archived. No new comments can be posted.

Algorithm Turns Lo-Res Datasets Into Hi-Res Output

Comments Filter:

To spot the expert, pick the one who predicts the job will take the longest and cost the most.

Working...