Ozcan Lab/UCLA The system uses an algorithm that encodes a high-resolution image to a lower-resolution one, and then translates the compressed image back to its original resolution by a decoder that unscrambles incoming light.
FINDINGS. Ozcan Lab/UCLA The system uses an algorithm that encodes a high-resolution image to a lower-resolution one, and then translates the compressed image back to its original resolution by a decoder that unscrambles incoming light. A UCLA team has developed a technology for projecting high-resolution computer-generated images using one-sixteenth the number of pixels contained in their source images. The system compresses images based on an artificial intelligence algorithm, and then decodes them using an optical decoder — a thin, translucent sheet of plastic produced using a 3D printer — that is designed to interact with light in a specific way as part of the same algorithm. The decoder consumes no power, which could result in higher-resolution displays that use less power and require less data than current display technologies. BACKGROUND. Projecting high-resolution 3D holograms requires so many pixels that the task is beyond the reach of current consumer technology.
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