University of Navarre researchers have developed algorithms to reduce and optimize images. Using a reduced image with between 1 and 10 percent of the original information, the researchers say the algorithms enable 100 percent of the pixels in the initial image to be restored. "We have shown that even if we lose 100 percent of the pixels of the image, we can restore a lost image with a very high level of quality just by using the information from the reduced image," says Navarre's Daniel Paternain-Dallo.
The goal of the research is to reduce the number of pixels the image contains while trying to keep all or as much as possible of the information and properties contained in the original image, Paternain-Dallo says. The algorithms divide the image into small zones that are processed individually. "For each zone, we look for a value that is simultaneously the least different from all the pixels that form the zone," Paternain-Dallo says. "By following this methodology, we can design algorithms that are very efficient in terms of execution time, and capable of being adapted to the local properties of each zone of the image."
From Basque Research
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