University of Navarre researchers say they have developed an algorithm that can magnify images 700 times faster than other conventional methods.
"Magnification techniques are very useful when we send images from one device to another or when we upload them to the Internet, since in order to make the transmission faster we tend to send a reduced version of the image which, when it arrives at its destination needs to be enlarged to make it available in its original size," says University of Navarre's Aranzazu Jurio-Munarriz.
Magnification also is used in cases in which the resolution of the image is poor, such as with closed-circuit TV surveillance cameras. The researchers have developed a magnification method for gray-scale images and another for color images.
The researchers also developed two thresholding algorithms.
The first is designed to work with fingerprint images. "In the thesis, we proposed a way of measuring the homogeneity of each zone of the image, in other words, to see how similar all the pixels in a region are," says Jurio-Munarriz.
The second is focused on brain images obtained from MRI scans, with the goal of studying the differences in the shapes of certain areas of the brain in patients who are suffering their first psychotic episodes.
From Basque Research
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