Inverse Halftoning Methods Based on Deep Learning and Their Evaluation Metrics: A Review
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DOI: 10.3390/app10041521
Abstract: Inverse halftoning is an ill-posed problem that refers to the problem of restoring continuous-tone images from their halftone versions. Although much progress has been achieved over the last decades, the restored images still suffer from… read more here.
Keywords: deep learning; inverse halftoning; evaluation; halftoning methods ... See more keywords