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Machine Learning in Linux: FBCNN – JPEG artifacts removal

Posted by sde on
LinuxLinks.com; By Steve Emms 		Mail this story
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FBCNN (flexible blind convolutional neural network) is software which seeks to remove artifacts from JPEGs while preserving the integrity of the images. It decouples the quality factor from the JPEG image via a decoupler module and then embeds the predicted quality factor into the subsequent reconstructor module through a quality factor attention block for flexible control.

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