22-Dec-2017
Good news for graphic designer and photographers. Digital images sometimes contain a range of imperfections such as blurriness, grainy noise, missing pixels and color corruption but computer scientists from the University of Maryland use the power of artificial neural networks to overcome these flaws. This could be a significant breakthrough for graphic designer and photographers, who have to rely on complex software to improve quality of the image and remove the errors. The image repair algorithm is so accurate that it nearly returns the image to their original state most of the time.
The researchers are still trying to make the algorithm more perfect, so it can recognize and repair "high-level" features, including complex textures such as hair and water in the near future.
Source:
https://www.sciencedaily.com/releases/2017/12/171205144802.htm
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